{"id":"W1588176417","doi":"10.1002/cncr.29484","title":"Discrepancies in drug approvals: A global dilemma","year":2015,"lang":"en","type":"letter","venue":"Cancer","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Formulary; Medicine; Drug; Drug approval; New drug application; Food and drug administration; Family medicine; Actuarial science; Pharmacology; Business","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":[0.1032285,0.001066966,0.002616649,0.003373349,0.00382845,0.01292926,0.006142384,0.02244901,0.005077546],"category_scores_gemma":[0.3288411,0.00137892,0.002430875,0.003640024,0.01480325,0.02606217,0.0072858,0.03588532,0.003238039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006665679,"about_ca_system_score_gemma":0.01131331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002026404,"about_ca_topic_score_gemma":0.003407206,"domain_scores_codex":[0.8813891,0.05914531,0.01413143,0.009184647,0.03249183,0.003657776],"domain_scores_gemma":[0.5853295,0.3165505,0.02633015,0.01119673,0.04643862,0.01415457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001636754,0.00006394721,0.00251805,0.0009883759,0.000221385,0.001505029,0.002006869,0.0003601282,0.00008844303,0.02399892,0.8566915,0.1113937],"study_design_scores_gemma":[0.00009602521,0.0001160403,0.001524491,0.002325917,0.0001070859,0.003707455,0.002749173,0.0004673238,0.0002181574,0.04833734,0.9401951,0.0001557821],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.000714337,0.01983271,0.001537937,0.9531365,0.02307767,0.00001137758,0.00006506572,0.00005507524,0.001569225],"genre_scores_gemma":[0.02189497,0.01946763,0.003245692,0.853025,0.1009003,0.00006368106,0.0001223834,0.0002772507,0.001003066],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1032285,"threshold_uncertainty_score":0.5459309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4419850003153881,"score_gpt":0.4602309197533588,"score_spread":0.01824591943797077,"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."}}