{"id":"W2954127070","doi":"10.1111/bioe.12597","title":"How law can help solve the collective action problem of antimicrobial resistance","year":2019,"lang":"en","type":"article","venue":"Bioethics","topic":"Antibiotic Use and Resistance","field":"Immunology and Microbiology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact; McMaster University; York University; University of Ottawa","funders":"Canadian Institutes of Health Research; Norges Forskningsråd","keywords":"Collective action; Action (physics); Resistance (ecology); Corporate governance; Politics; Antibiotic resistance; Law and economics; Antimicrobial; Political science; Business; Law; Sociology; Economics; Biology; Management; Antibiotics; Microbiology","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":[0.0002596157,0.0001284618,0.000216307,0.00003124911,0.0002540252,0.00002196656,0.0002139723,0.0003839056,0.00003491888],"category_scores_gemma":[0.00002386784,0.00008621189,0.00008553466,0.0001704031,0.0009979518,0.00005294972,0.00005050467,0.0004580889,0.00005828314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005052236,"about_ca_system_score_gemma":0.0002091136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003412172,"about_ca_topic_score_gemma":0.004740785,"domain_scores_codex":[0.9991773,0.0001413284,0.0001641349,0.0002302121,0.0000490655,0.0002380046],"domain_scores_gemma":[0.999178,0.0001703955,0.0001882429,0.0002913441,0.0001620536,0.000009983841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004026767,0.0001019141,0.0009335534,0.0002780959,0.0002242885,0.000001592252,0.001986545,0.000002473201,0.8766913,0.1062492,0.01301033,0.0001179298],"study_design_scores_gemma":[0.0009106698,0.0001328965,0.001014196,0.0002431788,0.00005939583,0.00001114947,0.002531901,7.033165e-7,0.8996413,0.001074883,0.09416632,0.0002134043],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8905209,0.005530727,0.0008907488,0.05269625,0.003744145,0.002397075,0.0004001627,0.0001970201,0.04362302],"genre_scores_gemma":[0.9544722,0.0001970167,0.0002685707,0.0004147562,0.00003311521,0.000002573075,0.00002089296,0.00001302746,0.04457778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1051744,"threshold_uncertainty_score":0.3676995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03409021568423837,"score_gpt":0.266594220776768,"score_spread":0.2325040050925296,"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."}}