{"id":"W3157427665","doi":"10.1016/j.ejca.2021.03.044","title":"Assessing the benefit of cancer drugs approved by the European Medicines Agency using the European Society for Medical Oncology Magnitude of Clinical Benefit Scale over time","year":2021,"lang":"en","type":"article","venue":"European Journal of Cancer","topic":"Economic and Financial Impacts of Cancer","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Centre for Applied Research in Cancer Control; University of Toronto; Health Sciences Centre; Queen's University; Sunnybrook Health Science Centre","funders":"Canadian Cancer Society; Canadian Centre for Applied Research in Cancer Control","keywords":"Medicine; Clinical trial; Cancer; Cancer drugs; Surrogate endpoint; Internal medicine; Intensive care medicine; Oncology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.01634472,0.0006323306,0.0008888185,0.002134271,0.0001908426,0.002050253,0.0006767149,0.001150325,0.003219011],"category_scores_gemma":[0.05912082,0.0002590007,0.002392312,0.002226591,0.0009452286,0.002792998,0.001591308,0.001689894,0.0003000011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001350707,"about_ca_system_score_gemma":0.0008715658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003177406,"about_ca_topic_score_gemma":0.002418107,"domain_scores_codex":[0.9946567,0.003106564,0.0005031652,0.0006792507,0.0008147767,0.0002395382],"domain_scores_gemma":[0.9472287,0.04092984,0.007517089,0.001517929,0.001901525,0.0009049337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007924613,0.0006385852,0.5139025,0.001132262,0.009351837,0.0005129302,0.0004869473,0.3262418,0.002750989,0.02421424,0.004373823,0.1084696],"study_design_scores_gemma":[0.0005482707,0.005876412,0.6670947,0.0002499148,0.003874868,0.0006921606,0.001101765,0.2602086,0.002462437,0.04519593,0.01246654,0.0002283121],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9483518,0.006915445,0.02277592,0.004044595,0.0003042671,0.0003750578,0.005068017,0.00008328749,0.01208172],"genre_scores_gemma":[0.9959106,0.0004373717,0.001685154,0.0001390456,0.00008188745,0.0000528682,0.0008184631,0.000009006276,0.0008655472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01634472,"threshold_uncertainty_score":0.08644015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06016700009938333,"score_gpt":0.3588209783975831,"score_spread":0.2986539782981998,"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."}}