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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