{"id":"W4224225336","doi":"10.1503/cmaj.211478","title":"Uptake of biosimilar drugs in Canada: analysis of provincial policies and usage data","year":2022,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Biosimilars and Bioanalytical Methods","field":"Immunology and Microbiology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Advancing Health Outcomes; AIDS Vancouver; British Columbia Centre of Excellence for Women's Health; Women's College Hospital; University of Toronto; University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Biosimilar; Per capita; Medical prescription; Drug prices; Medicine; Business; Public economics; Environmental health; Economics; Pharmacology; Internal medicine; Population","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.002454117,0.0002646915,0.0006085194,0.003846755,0.002025886,0.00236467,0.001274786,0.0005271906,0.002854142],"category_scores_gemma":[0.01414639,0.0003949565,0.001026578,0.01676279,0.001027244,0.0005416204,0.0009702348,0.001081502,0.0003016709],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09172606,"about_ca_system_score_gemma":0.1628597,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9979285,"about_ca_topic_score_gemma":0.9976338,"domain_scores_codex":[0.9939412,0.0004698127,0.0004195517,0.000365215,0.00325704,0.001547109],"domain_scores_gemma":[0.9700027,0.003535096,0.005776356,0.000619514,0.016834,0.003232441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003770146,0.00008392909,0.9633372,0.0003112004,0.0002204087,0.00007811436,0.001328745,0.00168291,0.0002605359,0.001940423,0.009888528,0.0204909],"study_design_scores_gemma":[0.00002278489,0.00003248662,0.9904202,0.00007054706,0.00006135135,0.00003710244,0.0009859261,0.001712925,0.0002090836,0.0001012887,0.006323479,0.00002297906],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9256899,0.00356178,0.0005648364,0.00487136,0.00002851677,0.0001767331,0.05159332,0.00009373717,0.01341991],"genre_scores_gemma":[0.9840593,0.001886036,0.0007718509,0.0005428987,0.000009979799,0.00004733908,0.01011628,0.00003492566,0.002531274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9082739,"threshold_uncertainty_score":0.6655222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01548563134875828,"score_gpt":0.2580436750603886,"score_spread":0.2425580437116303,"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."}}