{"id":"W2099837668","doi":"10.1128/aac.00419-13","title":"The Comprehensive Antibiotic Resistance Database","year":2013,"lang":"en","type":"article","venue":"Antimicrobial Agents and Chemotherapy","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2300,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada; McMaster University","funders":"Canadian Institutes of Health Research; Aeronautics Research and Development Board","keywords":"Antibiotic resistance; Genome; Biology; Genomics; Antibiotics; Computational biology; Bacterial genome size; Genetics; Database; Gene; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002251645,0.001697279,0.002247899,0.01063414,0.001165711,0.003747222,0.003338082,0.002518573,0.02803095],"category_scores_gemma":[0.008361407,0.0007364194,0.001009889,0.01015732,0.0004428821,0.003178228,0.00266547,0.001928026,0.03279558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00139971,"about_ca_system_score_gemma":0.00578701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005149065,"about_ca_topic_score_gemma":0.005904899,"domain_scores_codex":[0.9977506,0.0003095501,0.0006807055,0.0004318031,0.0006650664,0.0001622078],"domain_scores_gemma":[0.9956663,0.001059013,0.000739476,0.0008815339,0.001070029,0.0005836734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001120738,0.0003904103,0.007830316,0.00628014,0.0003361986,0.0006285458,0.0002778368,0.002564354,0.01454876,0.01620846,0.7537211,0.1960931],"study_design_scores_gemma":[0.0001807159,0.00008173259,0.004924678,0.0004627997,0.0001293287,0.0005173606,0.00007899924,0.002080061,0.003388646,0.004860174,0.9832132,0.0000821361],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.005477671,0.006238786,0.01608451,0.001272872,0.0001715968,0.0005028535,0.9234294,0.01869567,0.02812666],"genre_scores_gemma":[0.007123177,0.002729631,0.02306144,0.0006872816,0.00005767036,0.0003290416,0.9622337,0.0009433639,0.002834714],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02803095,"threshold_uncertainty_score":0.09377289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009336776061689917,"score_gpt":0.2406568790540845,"score_spread":0.2313201029923946,"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."}}