{"id":"W4224979603","doi":"10.1186/s40545-022-00428-w","title":"India’s ban on antimicrobial fixed-dose combinations: winning the battle, losing the war?","year":2022,"lang":"en","type":"article","venue":"Journal of Pharmaceutical Policy and Practice","topic":"Antibiotic Use and Resistance","field":"Immunology and Microbiology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Antimicrobial; Business; Government (linguistics); Toxicology; Descriptive statistics; Agricultural science; Biotechnology; Biology; Mathematics; Statistics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001906643,0.0001184466,0.0001716104,0.0001018157,0.001273084,0.00004047206,0.0003136682,0.00005430337,0.00018806],"category_scores_gemma":[0.002239185,0.00006662115,0.00009113294,0.0002420072,0.0003718209,0.0002061465,0.0001504147,0.001560264,0.00002723183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005774523,"about_ca_system_score_gemma":0.0001726814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003285578,"about_ca_topic_score_gemma":6.484291e-7,"domain_scores_codex":[0.9977534,0.001422631,0.0003432024,0.0001137515,0.0001093061,0.0002577387],"domain_scores_gemma":[0.9932263,0.006122467,0.0003968137,0.0001349278,0.00008288112,0.00003654112],"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":[0.01436749,0.004716956,0.00102162,0.0001731328,0.003363938,0.0005429591,0.01727105,0.0007262095,0.3969202,0.148679,0.3630691,0.04914827],"study_design_scores_gemma":[0.00229484,0.0004026658,0.001422058,0.00004806191,0.0003094923,0.004092299,0.002445626,0.0000253444,0.007627198,0.0002700827,0.9809271,0.0001352468],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.4217373,0.02051797,0.0002820654,0.5333368,0.005644782,0.0005291878,0.00007444167,0.00003757409,0.01783986],"genre_scores_gemma":[0.9818684,0.001177444,0.00004043626,0.01613824,0.0002909474,0.000001251803,0.00000246448,0.00001071032,0.0004700457],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6178579,"threshold_uncertainty_score":0.9791659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03638267695576912,"score_gpt":0.3648282612139333,"score_spread":0.3284455842581642,"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."}}