{"id":"W2989252497","doi":"10.1016/s0140-6736(19)32767-9","title":"A roadmap for sustainably governing the global antimicrobial commons","year":2019,"lang":"en","type":"article","venue":"The Lancet","topic":"Antibiotic Use and Resistance","field":"Immunology and Microbiology","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre for Global Health Research; Université de Montréal; York University","funders":"Social Sciences and Humanities Research Council of Canada; Wellcome Trust","keywords":"Medicine; Global health; Antibiotic resistance; Sanitation; Antimicrobial stewardship; Business; Public health; Antibiotics; Biology; Nursing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002633749,0.00009583258,0.0002278097,0.000005259118,0.0003246241,0.00002591874,0.000504128,0.00008998597,0.00008686924],"category_scores_gemma":[0.00004381329,0.00004730684,0.00008090684,0.00007154634,0.000177011,0.00002876696,0.00009336667,0.0001685724,0.0004916053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000303115,"about_ca_system_score_gemma":0.00005626111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001080793,"about_ca_topic_score_gemma":0.0001154673,"domain_scores_codex":[0.999274,0.00009132871,0.000109658,0.0001359006,0.00002014925,0.0003689396],"domain_scores_gemma":[0.9993009,0.0001504614,0.00007160207,0.0004341394,0.00003661749,0.000006258819],"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":[0.001344742,0.00009605845,0.05653807,0.0001701906,0.0004620771,0.00000359302,0.001051609,0.00004927207,0.04287676,0.104834,0.7910793,0.001494361],"study_design_scores_gemma":[0.002002652,0.00008210689,0.02164879,0.00004897718,0.00005256274,0.00003668621,0.0008469212,0.00001338177,0.002906867,0.0009066245,0.9713153,0.0001391727],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9581519,0.002430359,0.0004149094,0.02213719,0.001016417,0.0006890112,0.0002532927,0.00007742876,0.01482954],"genre_scores_gemma":[0.9871811,0.00003983089,0.00003124089,0.001765773,0.0001844449,0.000004174142,0.00003783036,0.000007676322,0.01074791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.180236,"threshold_uncertainty_score":0.6318756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01218614969683858,"score_gpt":0.2493984178522326,"score_spread":0.237212268155394,"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."}}