{"id":"W4281704376","doi":"10.1371/journal.pone.0268545","title":"Clinical benefit of cancer drugs approved in Switzerland 2010–2019","year":2022,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Economic and Financial Impacts of Cancer","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto","funders":"","keywords":"Cancer drugs; Medicine; Cancer; Drug approval; MEDLINE; Pharmacology; Drug; Internal medicine; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.01426941,0.0004422094,0.001217498,0.006443632,0.0002315831,0.001682352,0.0003253065,0.000762989,0.00401994],"category_scores_gemma":[0.03543127,0.0001615621,0.002117711,0.006198272,0.0006212827,0.001145573,0.0007442286,0.0005939346,0.0004329857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001812175,"about_ca_system_score_gemma":0.001652646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001451365,"about_ca_topic_score_gemma":0.004009779,"domain_scores_codex":[0.9849059,0.006633592,0.003901611,0.000916674,0.003207988,0.000434218],"domain_scores_gemma":[0.9100877,0.05222181,0.03131608,0.001013524,0.004491093,0.0008696792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.02520928,0.0001801752,0.3561021,0.1192953,0.02427816,0.0008418607,0.0006449044,0.002008899,0.00394884,0.002522679,0.02392913,0.4410385],"study_design_scores_gemma":[0.003283664,0.003344215,0.8418489,0.03448205,0.02122614,0.003111895,0.0007947522,0.0007863321,0.001919759,0.001309981,0.08776379,0.0001284959],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1412936,0.8261513,0.0004686879,0.005309259,0.0004701554,0.000363648,0.01397483,0.0000584649,0.01191014],"genre_scores_gemma":[0.8863556,0.09894831,0.001067577,0.002416667,0.001085838,0.0003844836,0.009032173,0.00002375357,0.0006854448],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01426941,"threshold_uncertainty_score":0.07546479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07127788798000308,"score_gpt":0.2600897772160131,"score_spread":0.1888118892360101,"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."}}