{"id":"W3121008802","doi":"10.1002/bies.202000163","title":"Accounting for variation in and overuse of antibiotics among humans","year":2021,"lang":"en","type":"article","venue":"BioEssays","topic":"Antibiotic Use and Resistance","field":"Immunology and Microbiology","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Institutes of Health; Fondation Leducq; Canadian Institute for Advanced Research","keywords":"Antibiotics; Commodity; Antibiotic Stewardship; Business; Perspective (graphical); Stewardship (theology); Variation (astronomy); Accounting; Intensive care medicine; Marketing; Medicine; Antibiotic resistance; Finance; Political science; Biology","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":[0.009154394,0.0004198758,0.0004551705,0.001279781,0.0006362716,0.001608594,0.0007862636,0.0007253886,0.001951623],"category_scores_gemma":[0.02532623,0.0003454453,0.001107515,0.001945851,0.00096785,0.0008044089,0.001031999,0.0006899383,0.0005091218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007640382,"about_ca_system_score_gemma":0.0007602315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01203588,"about_ca_topic_score_gemma":0.01203977,"domain_scores_codex":[0.9872217,0.007386558,0.0008354089,0.00253226,0.001412402,0.0006117835],"domain_scores_gemma":[0.9783509,0.008311252,0.006312263,0.005321708,0.001261163,0.0004425569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001333478,0.00006959725,0.9808443,0.00005116098,0.0007035317,0.00008068949,0.0008627375,0.0009614872,0.0004557203,0.0008362536,0.0006170159,0.01438412],"study_design_scores_gemma":[0.00001084396,0.0003240347,0.9804364,0.00006010515,0.0002800668,0.0004139945,0.001048546,0.008879616,0.0008049492,0.003044109,0.004664214,0.00003311979],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9734761,0.001869605,0.01734462,0.000702936,0.0001046207,0.0001559133,0.002412103,0.00006173879,0.003872268],"genre_scores_gemma":[0.9933884,0.0002764263,0.004027053,0.0001637925,0.00003408723,0.0001118982,0.0009138352,0.0000321154,0.001052335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01203588,"threshold_uncertainty_score":0.04841363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01081926436962324,"score_gpt":0.2350902432730032,"score_spread":0.2242709789033799,"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."}}