Datasets:
row_id
string | series_id
string | exposure_rank
int64 | organism
string | strain_id
string | antibiotic_name
string | antibiotic_class
string | auc_24_mg_h_L
float64 | mic_mg_L
float64 | auc_mic_ratio
float64 | cfu0_log10
float64 | cfu24_log10
float64 | kill_24_log10
float64 | media
string | assay_method
string | source_type
string | decoupling_signal
int64 | earliest_decoupling
int64 | notes
string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
ABXPD006-TR-0001
|
S1
| 1
|
Escherichia coli
|
EC-ATCC25922
|
levofloxacin
|
fluoroquinolone
| 40
| 0.25
| 160
| 7.2
| 5.2
| 2
|
CAMHB
|
auc_time_kill
|
simulated
| 0
| 0
|
baseline exposure
|
ABXPD006-TR-0002
|
S1
| 2
|
Escherichia coli
|
EC-ATCC25922
|
levofloxacin
|
fluoroquinolone
| 80
| 0.25
| 320
| 7.2
| 4.6
| 2.6
|
CAMHB
|
auc_time_kill
|
simulated
| 0
| 0
|
more killing with higher ratio
|
ABXPD006-TR-0003
|
S1
| 3
|
Escherichia coli
|
EC-ATCC25922
|
levofloxacin
|
fluoroquinolone
| 140
| 0.25
| 560
| 7.2
| 3.9
| 3.3
|
CAMHB
|
auc_time_kill
|
simulated
| 0
| 0
|
expected monotone gain
|
ABXPD006-TR-0004
|
S2
| 1
|
Klebsiella pneumoniae
|
KP-CLIN088
|
ceftriaxone
|
3rd_gen_cephalosporin
| 120
| 0.5
| 240
| 7.1
| 5.1
| 2
|
CAMHB
|
auc_time_kill
|
simulated
| 0
| 0
|
baseline
|
ABXPD006-TR-0005
|
S2
| 2
|
Klebsiella pneumoniae
|
KP-CLIN088
|
ceftriaxone
|
3rd_gen_cephalosporin
| 220
| 0.5
| 440
| 7.1
| 5.05
| 2.05
|
CAMHB
|
auc_time_kill
|
simulated
| 1
| 1
|
ratio up kill flat
|
ABXPD006-TR-0006
|
S2
| 3
|
Klebsiella pneumoniae
|
KP-CLIN088
|
ceftriaxone
|
3rd_gen_cephalosporin
| 360
| 0.5
| 720
| 7.1
| 5.2
| 1.9
|
CAMHB
|
auc_time_kill
|
simulated
| 1
| 0
|
ratio up kill worse
|
ABXPD006-TR-0007
|
S3
| 1
|
Staphylococcus aureus
|
SA-ATCC29213
|
vancomycin
|
glycopeptide
| 180
| 1
| 180
| 6.9
| 5.2
| 1.7
|
CAMHB
|
auc_time_kill
|
simulated
| 0
| 0
|
baseline
|
ABXPD006-TR-0008
|
S3
| 2
|
Staphylococcus aureus
|
SA-ATCC29213
|
vancomycin
|
glycopeptide
| 300
| 1
| 300
| 6.9
| 4.7
| 2.2
|
CAMHB
|
auc_time_kill
|
simulated
| 0
| 0
|
expected improvement
|
ABXPD006-TR-0009
|
S3
| 3
|
Staphylococcus aureus
|
SA-ATCC29213
|
vancomycin
|
glycopeptide
| 420
| 1
| 420
| 6.9
| 4.75
| 2.15
|
CAMHB
|
auc_time_kill
|
simulated
| 0
| 0
|
small variance
|
ABXPD006-TR-0010
|
S4
| 1
|
Escherichia coli
|
EC-CLIN501
|
meropenem
|
carbapenem
| 90
| 0.03
| 3,000
| 7.2
| 6.6
| 0.6
|
CAMHB
|
auc_time_kill
|
simulated
| 0
| 0
|
low kill despite high ratio single row
|
ABX-PD-006: AUC/MIC Ratio Decoupling
This dataset tests when AUC/MIC stops predicting bacterial killing.
The expected pattern is simple.
Higher AUC/MIC should produce more 24h killing.
Decoupling is when AUC/MIC rises but killing does not improve.
Files
- data/train.csv
- data/test.csv
- scorer.py
Schema
Each row is one exposure condition in an ordered series.
Required columns
- row_id
- series_id
- exposure_rank
- organism
- strain_id
- antibiotic_name
- antibiotic_class
- auc_24_mg_h_L
- mic_mg_L
- auc_mic_ratio
- cfu0_log10
- cfu24_log10
- kill_24_log10
- media
- assay_method
- source_type
- decoupling_signal
- earliest_decoupling
Labels
decoupling_signal
- 1 for rows at or after decoupling
earliest_decoupling
- 1 only for the first detected row in that series
Evaluation
Run
- python scorer.py --path data/test.csv
The scorer
- checks ratio consistency
- detects decoupling when ratio rises but kill does not
- avoids false calls when baseline inoculum varies too much
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