Datasets:
row_id
string | series_id
string | timepoint_h
int64 | organism
string | donor_strain
string | recipient_strain
string | plasmid_id
string | resistance_gene
string | drug_name
string | stress_index
float64 | transfer_rate_rel
float64 | plasmid_pos_frac
float64 | mic_drug_mg_L
float64 | resistant_mic_cutoff_mg_L
float64 | media
string | assay_method
string | source_type
string | transfer_coherence_signal
int64 | earliest_transfer_coherence
int64 | notes
string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
ABXRM009-TR-0001
|
S1
| 0
|
Escherichia coli
|
EC-DON01
|
EC-REC01
|
IncF_pl1
|
blaCTX-M
|
ceftriaxone
| 0.1
| 1
| 0
| 0.25
| 2
|
LB
|
conjugation_assay
|
simulated
| 0
| 0
|
baseline low stress
|
ABXRM009-TR-0002
|
S1
| 6
|
Escherichia coli
|
EC-DON01
|
EC-REC01
|
IncF_pl1
|
blaCTX-M
|
ceftriaxone
| 0.8
| 2
| 0.05
| 0.25
| 2
|
LB
|
conjugation_assay
|
simulated
| 0
| 0
|
stress increases
|
ABXRM009-TR-0003
|
S1
| 12
|
Escherichia coli
|
EC-DON01
|
EC-REC01
|
IncF_pl1
|
blaCTX-M
|
ceftriaxone
| 0.85
| 3.4
| 0.14
| 0.25
| 2
|
LB
|
conjugation_assay
|
simulated
| 1
| 1
|
acceleration under stress
|
ABXRM009-TR-0004
|
S1
| 24
|
Escherichia coli
|
EC-DON01
|
EC-REC01
|
IncF_pl1
|
blaCTX-M
|
ceftriaxone
| 0.9
| 4
| 0.28
| 1
| 2
|
LB
|
conjugation_assay
|
simulated
| 1
| 0
|
MIC still below cutoff
|
ABXRM009-TR-0005
|
S1
| 48
|
Escherichia coli
|
EC-DON01
|
EC-REC01
|
IncF_pl1
|
blaCTX-M
|
ceftriaxone
| 0.9
| 4.2
| 0.7
| 8
| 2
|
LB
|
conjugation_assay
|
simulated
| 1
| 0
|
MIC crosses later
|
ABXRM009-TR-0006
|
S2
| 0
|
Klebsiella pneumoniae
|
KP-DON11
|
KP-REC11
|
IncN_pl2
|
blaKPC
|
meropenem
| 0.1
| 1
| 0
| 0.25
| 4
|
LB
|
conjugation_assay
|
simulated
| 0
| 0
|
baseline
|
ABXRM009-TR-0007
|
S2
| 12
|
Klebsiella pneumoniae
|
KP-DON11
|
KP-REC11
|
IncN_pl2
|
blaKPC
|
meropenem
| 0.2
| 1.1
| 0.01
| 0.25
| 4
|
LB
|
conjugation_assay
|
simulated
| 0
| 0
|
low stress no accel
|
ABXRM009-TR-0008
|
S2
| 24
|
Klebsiella pneumoniae
|
KP-DON11
|
KP-REC11
|
IncN_pl2
|
blaKPC
|
meropenem
| 0.25
| 1.1
| 0.02
| 0.25
| 4
|
LB
|
conjugation_assay
|
simulated
| 0
| 0
|
stable
|
ABXRM009-TR-0009
|
S3
| 0
|
Escherichia coli
|
EC-DON77
|
EC-REC77
|
IncF_pl9
|
blaTEM
|
ampicillin
| 0.1
| 1
| 0
| 1
| 8
|
LB
|
conjugation_assay
|
simulated
| 0
| 0
|
baseline
|
ABXRM009-TR-0010
|
S3
| 12
|
Escherichia coli
|
EC-DON77
|
EC-REC77
|
IncF_pl9
|
blaTEM
|
ampicillin
| 0.9
| 12
| 0.02
| 1
| 8
|
LB
|
conjugation_assay
|
simulated
| 0
| 0
|
rate spike not enough evidence
|
ABX-RM-009 Plasmid Transfer Coherence
Purpose
Detect accelerating horizontal transfer under stress before MIC crosses a resistant cutoff.
Core pattern
- stress_index high
- transfer_rate_rel rises across multiple timepoints
- plasmid_pos_frac rises in the same window
- MIC stays below resistant_mic_cutoff_mg_L during the acceleration
- later MIC crosses resistant_mic_cutoff_mg_L
Files
- data/train.csv
- data/test.csv
- scorer.py
Schema
Each row is one timepoint in a within donor recipient series.
Required columns
- row_id
- series_id
- timepoint_h
- organism
- donor_strain
- recipient_strain
- plasmid_id
- resistance_gene
- drug_name
- stress_index
- transfer_rate_rel
- plasmid_pos_frac
- mic_drug_mg_L
- resistant_mic_cutoff_mg_L
- media
- assay_method
- source_type
- transfer_coherence_signal
- earliest_transfer_coherence
Labels
transfer_coherence_signal
- 1 for rows at or after the first confirmed coherence point
earliest_transfer_coherence
- 1 only for the first detected coherence row in that series
Scorer logic in v1
- baseline is timepoint 0
- candidate coherence point requires
- stress_index at least 0.80 at two consecutive steps
- transfer_rate_rel increases for two consecutive steps
- total transfer_rate_rel at least 3.0x baseline
- plasmid_pos_frac at least 0.12 and rising by 0.05 or more at that step
- MIC at that step below cutoff and at most 2x baseline
- exclude rate spike then snapback artifacts
- confirmation
- later MIC crosses resistant cutoff
Evaluation
Run
- python scorer.py --path data/test.csv
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