{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006809993,0.00006870995,0.0002349886,0.0001773808,0.00003535187,0.00002938748,0.000102624,0.00001138434,0.00001250868],"category_scores_gemma":[0.00003357953,0.00007268151,0.00001935435,0.00004085649,0.000007659833,0.00008506818,0.00007546726,0.00006045309,0.000003561054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005464996,"about_ca_system_score_gemma":0.0001887433,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07625537,"about_ca_topic_score_gemma":0.01338617,"domain_scores_codex":[0.998926,0.00001403448,0.000725602,0.0001412463,0.00005307162,0.0001399967],"domain_scores_gemma":[0.9994428,0.0000220463,0.0003435326,0.0000343685,0.00002957264,0.0001276803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001236233,0.001119714,0.3555497,0.000764624,0.002155953,0.0001089757,0.01819135,0.001518431,0.0000184777,0.2906876,0.02712365,0.3015252],"study_design_scores_gemma":[0.002998662,0.0001824565,0.6304522,0.00004884763,0.000007397325,0.000009090762,0.0003737679,0.008709465,0.000004240685,0.003305221,0.3537529,0.0001557714],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9274936,0.0008356838,0.0004196625,0.06953429,0.0002750714,0.0006963951,0.00004618202,0.000002927223,0.0006961518],"genre_scores_gemma":[0.9842659,0.001399777,0.0005275062,0.01360428,0.0001315636,0.00001511257,0.000003615816,0.000006372166,0.00004586685],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3266292,"threshold_uncertainty_score":0.9298959,"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."}}