{"id":"W3039703740","doi":"10.34172/ijhpm.2020.100","title":"Development Time and Patent Extension for Prescription Drugs in Canada: A Cohort Study","year":2020,"lang":"en","type":"article","venue":"International Journal of Health Policy and Management","topic":"Pharmaceutical Economics and Policy","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of Toronto; University Health Network","funders":"","keywords":"Medical prescription; Medicine; Cohort; Demography; Pharmacology; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001176754,0.0003878318,0.0005663518,0.001730762,0.002482322,0.001733138,0.001319532,0.0006232053,0.003460574],"category_scores_gemma":[0.003905794,0.0004648336,0.001445618,0.005432848,0.0007018112,0.0008213913,0.001076936,0.001824633,0.0003936111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01587026,"about_ca_system_score_gemma":0.0231413,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9606008,"about_ca_topic_score_gemma":0.967627,"domain_scores_codex":[0.9983688,0.00006950991,0.000109913,0.0003138031,0.0006056093,0.0005323056],"domain_scores_gemma":[0.9960556,0.0002983922,0.001363179,0.0002580161,0.00115686,0.000868016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002326428,0.00004422835,0.9954135,0.00003362987,0.0001050764,0.00008290983,0.0005439952,0.00005735344,0.00009200486,0.0001329495,0.0008424105,0.002419467],"study_design_scores_gemma":[0.00001456409,0.00006304303,0.9968768,0.00003465755,0.00009277452,0.0001023916,0.0009851195,0.0002077206,0.00004382237,0.00003898099,0.001520749,0.00001926924],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889786,0.001109577,0.0001373338,0.0003293798,0.00002031423,0.00006877711,0.006735232,0.00001102336,0.002609796],"genre_scores_gemma":[0.9945799,0.0007686216,0.000149069,0.0001179222,0.00001280919,0.00003167707,0.002878934,0.00001207186,0.001449114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03939921,"threshold_uncertainty_score":0.1151473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1067915605089622,"score_gpt":0.3321254726311059,"score_spread":0.2253339121221437,"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."}}