{"id":"W4389024284","doi":"10.1096/fasebj.31.1_supplement.101.3","title":"To kill a bacterium, you need to think like a bacterium","year":2017,"lang":"en","type":"article","venue":"The FASEB Journal","topic":"Chemical Reactions and Isotopes","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Bacteria; Biology; Gene; Chemically defined medium; Microbial metabolism; Amino acid; Bacterial growth; Biochemistry; Escherichia coli; Genetics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007737515,0.0001997309,0.0002314389,0.00008108422,0.001445854,0.0003206138,0.0009480562,0.0001630218,0.002983717],"category_scores_gemma":[0.0003163281,0.0001329748,0.0001574215,0.00008756996,0.0001195697,0.0002107253,0.0002864745,0.001163548,0.001073235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009194046,"about_ca_system_score_gemma":0.00008158987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004281655,"about_ca_topic_score_gemma":0.00001856669,"domain_scores_codex":[0.9986893,0.000152618,0.0002958942,0.0001976072,0.0001671481,0.0004974113],"domain_scores_gemma":[0.9983507,0.0001584592,0.0001855873,0.000495727,0.0001286728,0.0006808765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004995026,0.00012251,0.001790192,0.000005076743,0.0001202178,0.00005178122,0.001472491,0.00004081149,0.9415304,0.00007444844,0.04242522,0.01186731],"study_design_scores_gemma":[0.0009309543,0.0001900659,0.01334665,0.00003029332,0.0001202336,0.0004078209,0.0002958894,0.000126222,0.2032988,0.0002236107,0.7807718,0.0002576535],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9619761,0.00005053649,0.0001705381,0.02590474,0.002878581,0.0002808982,0.00004267393,0.00003834004,0.008657624],"genre_scores_gemma":[0.9798957,0.0000967097,0.0004534783,0.01106582,0.001401013,0.00001903702,0.000003739413,0.00002444213,0.007040076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7383465,"threshold_uncertainty_score":0.9998541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09020165489462605,"score_gpt":0.4074106208349164,"score_spread":0.3172089659402904,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}