Add cohort record

README.md

@@ -22,6 +22,8 @@ configs:
     data_files: data/labels.jsonl
   - config_name: audits
     data_files: data/audits.jsonl
+  - config_name: cohort
+    data_files: data/cohort.jsonl
 ---
 
 # CoReDD Bench
@@ -38,11 +40,11 @@ The setting is ex ante. A detector sees the change and its review context as the
 
 Every case is a change that was defective and was later corrected, so the question is where the defect sits, not whether the change has one. That defect was present the moment the code was written. Corrections that became necessary only because a dependency or an environment changed later are excluded, since nothing in the reviewed change could have revealed them.
 
-The six repositories were selected for observable review and integration workflows, not as a sample of code review practice. Results hold within that scope.
+The six repositories were selected for observable review and integration workflows, not as a sample of code review practice. Results hold within that scope. The cohort they were drawn from is described in `data/cohort.jsonl`.
 
-## Where the labels come from
+## Label reconstruction
 
-Labels are reconstructed rather than annotated. For every correction observed after integration, agents search the commit history for the change that introduced the defect and mark the lines within it that caused the correction.
+The labels are estimates derived from the repository history, not annotated ground truth. For every correction observed after integration, agents search the commit history for the change that introduced the defect and mark the lines within it that caused the correction.
 
 Reconstruction is stochastic and imperfect. A manual audit by a single annotator checks a sample of the reconstructed labels, asking for each case whether the change is corrective, whether the traced change is the origin, and whether the marked lines are complete. The resulting error rates ship as posterior distributions in `data/noise.json`.
 
@@ -158,11 +160,12 @@ data/
   labels.jsonl
   noise.json
   audits.jsonl
+  cohort.jsonl
 src/coredd/
 tests/
 ```
 
-Evaluation reads two of these. The benchmark cases and their reconstructed labels live in `data/labels.jsonl`, and the posterior parameters of the label error rates, one set per confidence stratum, in `data/noise.json`. The observations the rates were derived from are kept in `data/audits.jsonl`. Projection, perturbation, and metrics are implemented in `src/coredd/`.
+Evaluation reads two of these. The benchmark cases and their reconstructed labels live in `data/labels.jsonl`, and the posterior parameters of the label error rates, one set per confidence stratum, in `data/noise.json`. The observations the rates were derived from are kept in `data/audits.jsonl`, and the repository cohort the benchmark was drawn from is described in `data/cohort.jsonl`. Projection, perturbation, and metrics are implemented in `src/coredd/`.
 
 ### Case record
 
@@ -212,6 +215,49 @@ Each line of `audits.jsonl` records one audited case. Retained are the repositor
 
 Audit records are released for transparency and secondary analysis. Evaluation does not read them, since the rates derived from them already enter through `noise.json`.
 
+### Cohort record
+
+The six benchmark repositories are a stratified sample from a cohort of 65 repositories; each line of `cohort.jsonl` describes one of them.
+
+The cohort is the survivor set of a construction funnel over active Python repositories on GitHub. Platform events yield 9,345 candidates, of which repository selection retains 1,090, integration branch reconstruction 812, review discipline profiling 130, and integration gate enforcement 65. From these, two repositories per discussion-rate stratum were drawn as the audit sample. The funnel restricts the observable population as follows.
+
+| Aspect | Restriction |
+| --- | --- |
+| Platform | GitHub only |
+| Language | Python only |
+| Communication | English only |
+| Activity interval | June to September 2025 |
+| Review threshold | eligibility score ≥ 0.75 |
+| Minimum history | ≥ 100 merged pull requests |
+| Branch instability | ≤ 2 integration branch segments |
+| Review discipline | stationary review probability (tolerance 0.01, onset within the first tenth) |
+| Bypass threshold | bypass share < 0.05 |
+
+```json
+{
+  "repository": "OpenJobDescription/openjd-model-for-python",
+  "organization": "OpenJobDescription",
+  "review": {"score": 0.8569, "low": 0.4344, "high": 0.9025, "coverage": 1.0},
+  "stationarity": {"onset": 0.0, "kind": "stationary"},
+  "bypass": {"share": 0.0196, "attributed": 200, "bypassed": 4, "picked": 0, "ambiguous": 0},
+  "merges": {"total": 137, "rate": 4.2812},
+  "reviewers": {"total": 28, "rate": 5.3929},
+  "scale": {"sloc": 19584, "core": 6, "age": 32},
+  "participation": {"share": 0.2409, "stratum": "low", "sampled": true}
+}
+```
+
+Each record pairs the scores the funnel filtered on with the descriptive metrics of the repository.
+
+- `review` — the eligibility score of repository selection, a Wilson score over the reviewed merges of the observation window with its interval bounds, and the full-history share of merged pull requests reviewed by a user other than the author (`coverage`).
+- `stationarity` — the fitted review-probability profile: `onset` is the earliest fraction of the history after which it varies by at most the tolerance; `kind` is `stationary` or `stationary tail`.
+- `bypass` — the share of trunk commits that entered without a merged pull request, over the commits whose attribution is decided, with the class counts behind it.
+- `merges`, `reviewers` — full-history totals with per-month rates: merged pull requests per month, and the mean number of distinct reviewers active per month.
+- `scale` — Python source lines at the released head, the core contributors (the smallest set of commit authors covering 80% of trunk commits), and the history age in months.
+- `participation` — the discussion rate (merged pull requests with a comment by another user before close), its stratum under the cuts at 0.32 and 0.48, and whether the repository entered the audit sample.
+
+Cohort records are released for transparency and secondary analysis, in particular of the scope the results hold within. Evaluation does not read them.
+
 ## Related resource
 
 [CoReDD Corpus](https://huggingface.co/datasets/witrin/coredd-corpus) holds the frozen repository histories and the timestamped GitHub review context the benchmark was built from and is evaluated against.

data/cohort.jsonl

@@ -0,0 +1,65 @@
+{"repository": "Benchling-Open-Source/allotropy", "organization": "Benchling-Open-Source", "review": {"score": 0.798, "low": 0.5463, "high": 0.8444, "coverage": 0.998}, "stationarity": {"onset": 0.014, "kind": "stationary tail"}, "bypass": {"share": 0.002, "attributed": 1005, "bypassed": 2, "picked": 0, "ambiguous": 0}, "merges": {"total": 1012, "rate": 31.625}, "reviewers": {"total": 17, "rate": 5.7812}, "scale": {"sloc": 75104, "core": 5, "age": 32}, "participation": {"share": 0.2708, "stratum": "low", "sampled": false}}
+{"repository": "DataDog/dd-license-attribution", "organization": "DataDog", "review": {"score": 0.8449, "low": 0.3, "high": 0.9032, "coverage": 1.0}, "stationarity": {"onset": 0.0, "kind": "stationary"}, "bypass": {"share": 0.0136, "attributed": 290, "bypassed": 4, "picked": 0, "ambiguous": 0}, "merges": {"total": 134, "rate": 6.7}, "reviewers": {"total": 4, "rate": 2.15}, "scale": {"sloc": 20120, "core": 2, "age": 20}, "participation": {"share": 0.3731, "stratum": "mid", "sampled": false}}
+{"repository": "Energinet-DataHub/opengeh-python-packages", "organization": "Energinet-DataHub", "review": {"score": 0.9026, "low": 0.5481, "high": 0.9295, "coverage": 1.0}, "stationarity": {"onset": 0.0, "kind": "stationary"}, "bypass": {"share": 0.0047, "attributed": 210, "bypassed": 1, "picked": 0, "ambiguous": 0}, "merges": {"total": 209, "rate": 7.4643}, "reviewers": {"total": 26, "rate": 4.8929}, "scale": {"sloc": 6726, "core": 10, "age": 28}, "participation": {"share": 0.3684, "stratum": "mid", "sampled": false}}
+{"repository": "ISISComputingGroup/ibex_bluesky_core", "organization": "ISISComputingGroup", "review": {"score": 0.9221, "low": 0.6078, "high": 0.9416, "coverage": 1.0}, "stationarity": {"onset": 0.0, "kind": "stationary"}, "bypass": {"share": 0.0049, "attributed": 204, "bypassed": 1, "picked": 0, "ambiguous": 0}, "merges": {"total": 163, "rate": 7.4091}, "reviewers": {"total": 13, "rate": 3.1364}, "scale": {"sloc": 11884, "core": 3, "age": 22}, "participation": {"share": 0.4479, "stratum": "mid", "sampled": false}}
+{"repository": "NOAA-GFDL/NDSL", "organization": "NOAA-GFDL", "review": {"score": 0.7997, "low": 0.444, "high": 0.8584, "coverage": 0.9917}, "stationarity": {"onset": 0.0641, "kind": "stationary tail"}, "bypass": {"share": 0.0492, "attributed": 348, "bypassed": 18, "picked": 0, "ambiguous": 0}, "merges": {"total": 362, "rate": 13.4074}, "reviewers": {"total": 13, "rate": 4.7857}, "scale": {"sloc": 34424, "core": 3, "age": 27}, "participation": {"share": 0.4006, "stratum": "mid", "sampled": false}}
+{"repository": "NVIDIA-NeMo/Run", "organization": "NVIDIA-NeMo", "review": {"score": 0.945, "low": 0.69, "high": 0.9566, "coverage": 0.9596}, "stationarity": {"onset": 0.0, "kind": "stationary"}, "bypass": {"share": 0.0066, "attributed": 299, "bypassed": 2, "picked": 0, "ambiguous": 0}, "merges": {"total": 322, "rate": 15.3333}, "reviewers": {"total": 25, "rate": 5.6364}, "scale": {"sloc": 34013, "core": 7, "age": 21}, "participation": {"share": 0.2236, "stratum": "low", "sampled": false}}
+{"repository": "OpenJobDescription/openjd-adaptor-runtime-for-python", "organization": "OpenJobDescription", "review": {"score": 0.9539, "low": 0.4365, "high": 0.9699, "coverage": 1.0}, "stationarity": {"onset": 0.0, "kind": "stationary"}, "bypass": {"share": 0.0151, "attributed": 196, "bypassed": 3, "picked": 0, "ambiguous": 0}, "merges": {"total": 124, "rate": 3.875}, "reviewers": {"total": 30, "rate": 4.6071}, "scale": {"sloc": 12170, "core": 6, "age": 32}, "participation": {"share": 0.2177, "stratum": "low", "sampled": false}}
+{"repository": "OpenJobDescription/openjd-model-for-python", "organization": "OpenJobDescription", "review": {"score": 0.8569, "low": 0.4344, "high": 0.9025, "coverage": 1.0}, "stationarity": {"onset": 0.0, "kind": "stationary"}, "bypass": {"share": 0.0196, "attributed": 200, "bypassed": 4, "picked": 0, "ambiguous": 0}, "merges": {"total": 137, "rate": 4.2812}, "reviewers": {"total": 28, "rate": 5.3929}, "scale": {"sloc": 19584, "core": 6, "age": 32}, "participation": {"share": 0.2409, "stratum": "low", "sampled": true}}
+{"repository": "OpenJobDescription/openjd-sessions-for-python", "organization": "OpenJobDescription", "review": {"score": 0.7869, "low": 0.3057, "high": 0.8632, "coverage": 1.0}, "stationarity": {"onset": 0.0, "kind": "stationary"}, "bypass": {"share": 0.0121, "attributed": 245, "bypassed": 3, "picked": 0, "ambiguous": 0}, "merges": {"total": 165, "rate": 5.1562}, "reviewers": {"total": 32, "rate": 6.2581}, "scale": {"sloc": 12660, "core": 8, "age": 32}, "participation": {"share": 0.3333, "stratum": "mid", "sampled": false}}
+{"repository": "SatelliteQE/airgun", "organization": "SatelliteQE", "review": {"score": 0.8832, "low": 0.6372, "high": 0.9081, "coverage": 0.8857}, "stationarity": {"onset": 0.0, "kind": "stationary"}, "bypass": {"share": 0.0285, "attributed": 1056, "bypassed": 31, "picked": 0, "ambiguous": 0}, "merges": {"total": 1733, "rate": 17.33}, "reviewers": {"total": 61, "rate": 7.92}, "scale": {"sloc": 21930, "core": 24, "age": 100}, "participation": {"share": 0.367, "stratum": "mid", "sampled": false}}
+{"repository": "SonarSource/sonar-scanner-python", "organization": "SonarSource", "review": {"score": 0.9062, "low": 0.4526, "high": 0.9368, "coverage": 0.9892}, "stationarity": {"onset": 0.0, "kind": "stationary"}, "bypass": {"share": 0.0135, "attributed": 219, "bypassed": 3, "picked": 0, "ambiguous": 0}, "merges": {"total": 186, "rate": 6.4138}, "reviewers": {"total": 12, "rate": 2.88}, "scale": {"sloc": 6465, "core": 7, "age": 29}, "participation": {"share": 0.4247, "stratum": "mid", "sampled": false}}
+{"repository": "SwissDataScienceCenter/renku-data-services", "organization": "SwissDataScienceCenter", "review": {"score": 0.8853, "low": 0.5667, "high": 0.9149, "coverage": 0.9732}, "stationarity": {"onset": 0.0, "kind": "stationary"}, "bypass": {"share": 0.0093, "attributed": 638, "bypassed": 6, "picked": 0, "ambiguous": 0}, "merges": {"total": 709, "rate": 19.1622}, "reviewers": {"total": 14, "rate": 4.3684}, "scale": {"sloc": 77396, "core": 5, "age": 37}, "participation": {"share": 0.9069, "stratum": "high", "sampled": false}}
+{"repository": "Zipstack/unstract-sdk", "organization": "Zipstack", "review": {"score": 1.0, "low": 0.6457, "high": 1.0, "coverage": 0.9797}, "stationarity": {"onset": 0.0, "kind": "stationary"}, "bypass": {"share": 0.0203, "attributed": 193, "bypassed": 4, "picked": 0, "ambiguous": 0}, "merges": {"total": 197, "rate": 9.85}, "reviewers": {"total": 19, "rate": 8.1905}, "scale": {"sloc": 10849, "core": 6, "age": 20}, "participation": {"share": 0.4975, "stratum": "high", "sampled": false}}
+{"repository": "ansible/django-ansible-base", "organization": "ansible", "review": {"score": 0.8785, "low": 0.6269, "high": 0.9049, "coverage": 0.9836}, "stationarity": {"onset": 0.0321, "kind": "stationary tail"}, "bypass": {"share": 0.0133, "attributed": 818, "bypassed": 11, "picked": 0, "ambiguous": 0}, "merges": {"total": 731, "rate": 23.5806}, "reviewers": {"total": 66, "rate": 11.4375}, "scale": {"sloc": 48421, "core": 10, "age": 31}, "participation": {"share": 0.528, "stratum": "high", "sampled": false}}
+{"repository": "ansible/eda-server", "organization": "ansible", "review": {"score": 0.9092, "low": 0.6286, "high": 0.9302, "coverage": 0.9256}, "stationarity": {"onset": 0.0, "kind": "stationary"}, "bypass": {"share": 0.0382, "attributed": 1082, "bypassed": 43, "picked": 1, "ambiguous": 0}, "merges": {"total": 1250, "rate": 30.4878}, "reviewers": {"total": 49, "rate": 10.2439}, "scale": {"sloc": 59430, "core": 9, "age": 41}, "participation": {"share": 0.5272, "stratum": "high", "sampled": false}}
+{"repository": "ansys/pyacp", "organization": "ansys", "review": {"score": 0.9246, "low": 0.3006, "high": 0.9544, "coverage": 0.9726}, "stationarity": {"onset": 0.0822, "kind": "stationary tail"}, "bypass": {"share": 0.0123, "attributed": 564, "bypassed": 7, "picked": 0, "ambiguous": 0}, "merges": {"total": 401, "rate": 7.7115}, "reviewers": {"total": 10, "rate": 2.3077}, "scale": {"sloc": 20725, "core": 2, "age": 52}, "participation": {"share": 0.3142, "stratum": "low", "sampled": false}}
+{"repository": "apache/iceberg-python", "organization": "apache", "review": {"score": 0.7706, "low": 0.6046, "high": 0.8096, "coverage": 0.9952}, "stationarity": {"onset": 0.0, "kind": "stationary"}, "bypass": {"share": 0.0004, "attributed": 2657, "bypassed": 1, "picked": 1, "ambiguous": 0}, "merges": {"total": 1052, "rate": 32.875}, "reviewers": {"total": 64, "rate": 8.2727}, "scale": {"sloc": 167220, "core": 12, "age": 32}, "participation": {"share": 0.5951, "stratum": "high", "sampled": false}}
+{"repository": "astronomy-commons/hats-import", "organization": "astronomy-commons", "review": {"score": 0.8718, "low": 0.3589, "high": 0.9178, "coverage": 0.9503}, "stationarity": {"onset": 0.0, "kind": "stationary"}, "bypass": {"share": 0.0108, "attributed": 368, "bypassed": 4, "picked": 0, "ambiguous": 0}, "merges": {"total": 382, "rate": 9.55}, "reviewers": {"total": 17, "rate": 4.8049}, "scale": {"sloc": 8348, "core": 3, "age": 40}, "participation": {"share": 0.3115, "stratum": "low", "sampled": false}}
+{"repository": "aws-deadline/deadline-cloud", "organization": "aws-deadline", "review": {"score": 0.9426, "low": 0.765, "high": 0.9516, "coverage": 0.9987}, "stationarity": {"onset": 0.0, "kind": "stationary"}, "bypass": {"share": 0.0025, "attributed": 814, "bypassed": 2, "picked": 0, "ambiguous": 0}, "merges": {"total": 743, "rate": 22.5152}, "reviewers": {"total": 63, "rate": 16.4118}, "scale": {"sloc": 52187, "core": 20, "age": 33}, "participation": {"share": 0.4805, "stratum": "high", "sampled": false}}
+{"repository": "aws-deadline/deadline-cloud-for-3ds-max", "organization": "aws-deadline", "review": {"score": 1.0, "low": 0.7412, "high": 1.0, "coverage": 1.0}, "stationarity": {"onset": 0.0, "kind": "stationary"}, "bypass": {"share": 0.0066, "attributed": 150, "bypassed": 1, "picked": 0, "ambiguous": 0}, "merges": {"total": 124, "rate": 4.5926}, "reviewers": {"total": 28, "rate": 6.2174}, "scale": {"sloc": 14114, "core": 8, "age": 27}, "participation": {"share": 0.4516, "stratum": "mid", "sampled": false}}
+{"repository": "aws-deadline/deadline-cloud-for-cinema-4d", "organization": "aws-deadline", "review": {"score": 0.9739, "low": 0.7586, "high": 0.9786, "coverage": 1.0}, "stationarity": {"onset": 0.0, "kind": "stationary"}, "bypass": {"share": 0.0031, "attributed": 322, "bypassed": 1, "picked": 0, "ambiguous": 0}, "merges": {"total": 272, "rate": 9.7143}, "reviewers": {"total": 31, "rate": 7.16}, "scale": {"sloc": 9640, "core": 6, "age": 28}, "participation": {"share": 0.3566, "stratum": "mid", "sampled": false}}
+{"repository": "aws-deadline/deadline-cloud-for-maya", "organization": "aws-deadline", "review": {"score": 1.0, "low": 0.7719, "high": 1.0, "coverage": 1.0}, "stationarity": {"onset": 0.0, "kind": "stationary"}, "bypass": {"share": 0.0076, "attributed": 262, "bypassed": 2, "picked": 0, "ambiguous": 0}, "merges": {"total": 214, "rate": 6.4848}, "reviewers": {"total": 39, "rate": 6.8182}, "scale": {"sloc": 8039, "core": 14, "age": 33}, "participation": {"share": 0.3692, "stratum": "mid", "sampled": false}}
+{"repository": "aws-deadline/deadline-cloud-for-nuke", "organization": "aws-deadline", "review": {"score": 0.8716, "low": 0.4677, "high": 0.9111, "coverage": 1.0}, "stationarity": {"onset": 0.0, "kind": "stationary"}, "bypass": {"share": 0.0088, "attributed": 226, "bypassed": 2, "picked": 0, "ambiguous": 0}, "merges": {"total": 163, "rate": 4.9394}, "reviewers": {"total": 39, "rate": 5.7097}, "scale": {"sloc": 7554, "core": 13, "age": 33}, "participation": {"share": 0.2883, "stratum": "low", "sampled": false}}
+{"repository": "aws-deadline/deadline-cloud-test-fixtures", "organization": "aws-deadline", "review": {"score": 1.0, "low": 0.6097, "high": 1.0, "coverage": 1.0}, "stationarity": {"onset": 0.0, "kind": "stationary"}, "bypass": {"share": 0.0048, "attributed": 208, "bypassed": 1, "picked": 0, "ambiguous": 0}, "merges": {"total": 166, "rate": 5.0303}, "reviewers": {"total": 33, "rate": 6.6774}, "scale": {"sloc": 6673, "core": 9, "age": 33}, "participation": {"share": 0.2169, "stratum": "low", "sampled": false}}
+{"repository": "aws-deadline/deadline-cloud-worker-agent", "organization": "aws-deadline", "review": {"score": 1.0, "low": 0.8454, "high": 1.0, "coverage": 1.0}, "stationarity": {"onset": 0.0, "kind": "stationary"}, "bypass": {"share": 0.003, "attributed": 658, "bypassed": 2, "picked": 0, "ambiguous": 0}, "merges": {"total": 541, "rate": 16.3939}, "reviewers": {"total": 45, "rate": 11.5294}, "scale": {"sloc": 44475, "core": 10, "age": 33}, "participation": {"share": 0.403, "stratum": "mid", "sampled": false}}
+{"repository": "aws/serverless-application-model", "organization": "aws", "review": {"score": 1.0, "low": 0.4385, "high": 1.0, "coverage": 0.9811}, "stationarity": {"onset": 0.0561, "kind": "stationary tail"}, "bypass": {"share": 0.0416, "attributed": 1522, "bypassed": 66, "picked": 0, "ambiguous": 0}, "merges": {"total": 1588, "rate": 13.8087}, "reviewers": {"total": 106, "rate": 6.8447}, "scale": {"sloc": 40159, "core": 40, "age": 115}, "participation": {"share": 0.5271, "stratum": "high", "sampled": false}}
+{"repository": "awslabs/graphstorm", "organization": "awslabs", "review": {"score": 0.8838, "low": 0.4974, "high": 0.9182, "coverage": 0.9955}, "stationarity": {"onset": 0.014, "kind": "stationary tail"}, "bypass": {"share": 0.0049, "attributed": 807, "bypassed": 4, "picked": 0, "ambiguous": 0}, "merges": {"total": 881, "rate": 22.025}, "reviewers": {"total": 14, "rate": 4.8611}, "scale": {"sloc": 79015, "core": 5, "age": 40}, "participation": {"share": 0.6538, "stratum": "high", "sampled": true}}
+{"repository": "awslabs/s3-connector-for-pytorch", "organization": "awslabs", "review": {"score": 1.0, "low": 0.5655, "high": 1.0, "coverage": 0.9881}, "stationarity": {"onset": 0.0, "kind": "stationary"}, "bypass": {"share": 0.0106, "attributed": 281, "bypassed": 3, "picked": 0, "ambiguous": 0}, "merges": {"total": 253, "rate": 8.1613}, "reviewers": {"total": 16, "rate": 3.25}, "scale": {"sloc": 11329, "core": 5, "age": 31}, "participation": {"share": 0.5375, "stratum": "high", "sampled": false}}
+{"repository": "canonical/charm-microceph", "organization": "canonical", "review": {"score": 0.9246, "low": 0.3006, "high": 0.9544, "coverage": 0.9733}, "stationarity": {"onset": 0.0762, "kind": "stationary tail"}, "bypass": {"share": 0.0253, "attributed": 154, "bypassed": 4, "picked": 0, "ambiguous": 0}, "merges": {"total": 150, "rate": 4.0541}, "reviewers": {"total": 12, "rate": 2.9333}, "scale": {"sloc": 12668, "core": 4, "age": 37}, "participation": {"share": 0.4667, "stratum": "mid", "sampled": false}}
+{"repository": "canonical/charmed-openstack-upgrader", "organization": "canonical", "review": {"score": 1.0, "low": 0.4385, "high": 1.0, "coverage": 1.0}, "stationarity": {"onset": 0.0, "kind": "stationary"}, "bypass": {"share": 0.0094, "attributed": 315, "bypassed": 3, "picked": 0, "ambiguous": 0}, "merges": {"total": 343, "rate": 9.8}, "reviewers": {"total": 15, "rate": 4.8148}, "scale": {"sloc": 16376, "core": 5, "age": 35}, "participation": {"share": 0.6793, "stratum": "high", "sampled": false}}
+{"repository": "canonical/craft-cli", "organization": "canonical", "review": {"score": 0.9268, "low": 0.523, "high": 0.9486, "coverage": 1.0}, "stationarity": {"onset": 0.0, "kind": "stationary"}, "bypass": {"share": 0.0032, "attributed": 310, "bypassed": 1, "picked": 0, "ambiguous": 0}, "merges": {"total": 216, "rate": 3.8571}, "reviewers": {"total": 19, "rate": 3.5102}, "scale": {"sloc": 8362, "core": 4, "age": 56}, "participation": {"share": 0.4444, "stratum": "mid", "sampled": false}}
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