{"id":"W2807999181","doi":"10.3747/co.25.3846","title":"Value Assessment in Oncology Drugs: Funding of Drugs for Metastatic Breast Cancer in Canada","year":2018,"lang":"en","type":"article","venue":"Current Oncology","topic":"Economic and Financial Impacts of Cancer","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Centre hospitalier de l'Université Laval; Centre hospitalier universitaire de Québec","funders":"Pfizer; Eli Lilly and Company; Amgen","keywords":"Medicine; Life expectancy; Metastatic breast cancer; Breast cancer; Clinical Oncology; Quality of life (healthcare); Oncology; Excellence; Internal medicine; Cancer; Family medicine; Intensive care medicine; Population; Environmental health; Nursing","routes":{"ca_aff":true,"ca_fund":false,"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":[0.008376032,0.0005610869,0.0006035638,0.009115756,0.001894818,0.004120353,0.001307555,0.0007487308,0.003082738],"category_scores_gemma":[0.05054845,0.0002474694,0.00161727,0.02071078,0.0009471334,0.001128994,0.001074827,0.001009501,0.0001964308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1079847,"about_ca_system_score_gemma":0.1916078,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9801317,"about_ca_topic_score_gemma":0.9864728,"domain_scores_codex":[0.9820326,0.003264988,0.001290607,0.000674976,0.01102601,0.00171091],"domain_scores_gemma":[0.9243204,0.01400356,0.01007544,0.0009621167,0.04771366,0.002924868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007468878,0.000131403,0.4548878,0.01148443,0.002303433,0.0005333925,0.001155338,0.02513946,0.0004230641,0.04932051,0.1868493,0.267025],"study_design_scores_gemma":[0.0002732491,0.0001620015,0.5185979,0.009376973,0.002327827,0.0005363296,0.001591231,0.01720054,0.001058123,0.008359502,0.4402889,0.0002274884],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2435172,0.1653636,0.009122807,0.05985754,0.0008992319,0.003061127,0.2601226,0.0003120746,0.2577438],"genre_scores_gemma":[0.8842216,0.04434995,0.01506063,0.007297342,0.0003286525,0.0008127164,0.03920389,0.00008530651,0.00864007],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1079847,"threshold_uncertainty_score":0.7834878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09751819704930142,"score_gpt":0.3863149901049958,"score_spread":0.2887967930556943,"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."}}