{"id":"W2087223115","doi":"10.1371/journal.pone.0107515","title":"Does Variation among Provincial Drug Formulary Antimicrobial Listings in Canada Influence Prescribing Rates?","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Antibiotic Use and Resistance","field":"Immunology and Microbiology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Université de Montréal; Hôpital Maisonneuve-Rosemont; BC Centre for Disease Control; University of British Columbia; Public Health Agency of Canada","funders":"Health Canada; Fondation pour la Recherche Médicale; Public Health Agency of Canada; Gilead Sciences; Pfizer","keywords":"Formulary; Antimicrobial drug; Drug; Variation (astronomy); Medicine; Antimicrobial; Biology; Family medicine; Pharmacology; Microbiology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.00239178,0.0002463949,0.000493017,0.001989048,0.001633071,0.001397897,0.001819191,0.0004513304,0.002522736],"category_scores_gemma":[0.01434818,0.0003332016,0.0008627705,0.006688272,0.0009099313,0.00045519,0.0008045677,0.0007016995,0.0002164103],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03659052,"about_ca_system_score_gemma":0.0403586,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.993515,"about_ca_topic_score_gemma":0.9948591,"domain_scores_codex":[0.9962451,0.0004433326,0.0003319569,0.0006103104,0.00138159,0.000987716],"domain_scores_gemma":[0.9875558,0.001693257,0.004173777,0.0006050129,0.004441797,0.001530448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001091617,0.00001569373,0.9881882,0.00005272126,0.0001017533,0.00003736825,0.0006353129,0.0004111992,0.0001134432,0.0002391564,0.001920631,0.00817543],"study_design_scores_gemma":[0.0000043996,0.00001128159,0.9975206,0.00003730192,0.00002754753,0.00003001713,0.0004967745,0.0006659285,0.00006402494,0.00003989718,0.001091825,0.00001023149],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9748173,0.001997924,0.000815225,0.002732258,0.00005913106,0.00008683616,0.01271501,0.000074239,0.00670205],"genre_scores_gemma":[0.9973751,0.0003624235,0.0002815315,0.0001204144,0.000006143338,0.00001063714,0.001408006,0.00001409225,0.0004215504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9634095,"threshold_uncertainty_score":0.265484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007046863333964674,"score_gpt":0.1708133603974805,"score_spread":0.1637664970635158,"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."}}