{"id":"W1972080304","doi":"10.1503/cmaj.130814","title":"Delays in the submission of new drugs in Canada","year":2014,"lang":"en","type":"review","venue":"Canadian Medical Association Journal","topic":"Pharmaceutical Economics and Policy","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Canadian Institutes of Health Research; Organisation de Coopération et de Développement Économiques; Government of Canada; Mylan; Teva Pharmaceutical Industries","keywords":"Process (computing); Drug approval; Computer science; Medicine; Data science; Pharmacology; Drug","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":[0.01423224,0.000708557,0.001508001,0.00425262,0.001831153,0.003899367,0.002514191,0.002724138,0.006524968],"category_scores_gemma":[0.04131553,0.0006344634,0.001102105,0.00864504,0.002382268,0.002428081,0.00170496,0.005213541,0.0009824567],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03573876,"about_ca_system_score_gemma":0.1112956,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.623382,"about_ca_topic_score_gemma":0.7173093,"domain_scores_codex":[0.9881585,0.001826925,0.001082181,0.0007705872,0.007070574,0.001091216],"domain_scores_gemma":[0.9512196,0.01884098,0.007904585,0.0005750278,0.01898891,0.002470948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004852961,0.0000675889,0.002282415,0.03479381,0.0003643271,0.0003802809,0.0004666306,0.000920837,0.0004770076,0.01888004,0.3193353,0.6215464],"study_design_scores_gemma":[0.0001423401,0.00008238642,0.007423902,0.02455803,0.0004084505,0.00064291,0.0003373669,0.00020289,0.000524616,0.002051572,0.9635534,0.00007218703],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004568001,0.9839431,0.00009592003,0.01054604,0.0008956596,0.0000180582,0.0001774729,0.00001765186,0.003849288],"genre_scores_gemma":[0.01134482,0.9790159,0.0003205909,0.006667441,0.0008186929,0.00002130895,0.0002065288,0.00001433844,0.001590289],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9642612,"threshold_uncertainty_score":0.757672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04566880837996752,"score_gpt":0.2918291202872215,"score_spread":0.246160311907254,"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."}}