card: tighten provenance wording

README.md

@@ -24,8 +24,8 @@ The two large evidence sets behind the reproduction-and-extension study of **CA-
 
 1. **`measurements/`** — the raw head-granularity concept-attribution tensors for a 13-timestep
    sweep (backs **Table 2** and **Figure 1** of the report).
-2. **`generated/`** — every image that was scored for the main results (backs **Table 3** and its
-   bootstrap confidence intervals).
+2. **`generated/`** — every image that was scored for the main results (backs **Table 3** of the
+   report).
 
 The adapters that produced the images live in
 [`chs35/improving-ca-lora-checkpoints`](https://huggingface.co/chs35/improving-ca-lora-checkpoints).
@@ -76,8 +76,8 @@ run, 9,900 in total.
 `manifest.json` records, for every single image: its `index`, the full `prompt` actually used, the
 sampled `class_names`, the `condition`, the `seed` and `batch_seed_index`, and the relative `path`.
 It also records the generation protocol (guidance scale 5.0, 25 steps, `EulerDiscreteScheduler`,
-1024², fp32, seed 0) and which adapter checkpoint was loaded. Per-image scores and bootstrap CIs
-can therefore be recomputed exactly from these files.
+1024², fp32, seed 0) and which adapter checkpoint was loaded. Per-image scores can therefore be
+recomputed exactly from these files.
 
 ### Runs, and the report rows they back