{"id":"W2969844442","doi":"10.11606/s1518-8787.2019053000879","title":"Restrictive measure for the commercialization of antimicrobials in Brazil: results achieved","year":2019,"lang":"en","type":"article","venue":"Revista de Saúde Pública","topic":"Antibiotic Use and Resistance","field":"Immunology and Microbiology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Commercialization; Measure (data warehouse); Medicine; Business; Computer science; Data mining; Marketing","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006009782,0.000300559,0.000397,0.0008138302,0.0002847524,0.0006464247,0.0005889935,0.0003920887,0.0006679342],"category_scores_gemma":[0.02235245,0.0002424075,0.0009699252,0.0008497479,0.0005296814,0.0004856048,0.0008541095,0.0005480914,0.0000726539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001310799,"about_ca_system_score_gemma":0.002981136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02752314,"about_ca_topic_score_gemma":0.0186141,"domain_scores_codex":[0.9966829,0.001397649,0.0004467472,0.0003577099,0.0007715952,0.0003433696],"domain_scores_gemma":[0.9776878,0.004645985,0.01175728,0.002292534,0.002683175,0.0009332261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001642085,0.00008966342,0.9901807,0.00006166232,0.00008646233,0.0000334661,0.0003621745,0.0001254222,0.0003286452,0.0001364382,0.0001558791,0.008275284],"study_design_scores_gemma":[0.00001066266,0.0003049831,0.9980389,0.00003738408,0.00004786885,0.00007396974,0.0002451143,0.0003285029,0.0002771772,0.00004139208,0.0005894058,0.00000456531],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956172,0.0008115116,0.0006474943,0.0003603983,0.00001340138,0.0001047981,0.0006531599,0.00001869785,0.0017734],"genre_scores_gemma":[0.9990613,0.0001336227,0.0004006311,0.00004841762,0.000008615397,0.0000296441,0.0002285535,0.000002350826,0.00008698057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02752314,"threshold_uncertainty_score":0.05472583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01401458552975627,"score_gpt":0.268220571466187,"score_spread":0.2542059859364307,"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."}}