{"id":"W2136325259","doi":"10.12927/hcpol.2011.22177","title":"Access to Cancer Drugs in Canada: Looking Beyond Coverage Decisions","year":2011,"lang":"en","type":"article","venue":"Healthcare policy","topic":"Economic and Financial Impacts of Cancer","field":"Economics, Econometrics and Finance","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of British Columbia; Memorial University of Newfoundland","funders":"","keywords":"Cancer drugs; Consistency (knowledge bases); Cancer; Drug; Medicine; Selection (genetic algorithm); Family medicine; Business; Pharmacology; Internal medicine; Computer science","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":[0.001692023,0.0002316895,0.0006140618,0.002451129,0.002203179,0.002253677,0.001299597,0.0005691878,0.004688271],"category_scores_gemma":[0.01207015,0.0002528047,0.0006952567,0.008992344,0.00110539,0.0006737569,0.001405305,0.001160938,0.0001769343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04749653,"about_ca_system_score_gemma":0.04037538,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9952269,"about_ca_topic_score_gemma":0.9961259,"domain_scores_codex":[0.9966445,0.0004449351,0.0001781889,0.0003169819,0.001058405,0.001357034],"domain_scores_gemma":[0.9892864,0.002303264,0.003534885,0.0002540752,0.002372061,0.002249322],"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":[0.0001094825,0.00005247539,0.9875501,0.00003225764,0.0001140329,0.00008978821,0.0007456025,0.00129095,0.00004541211,0.001024276,0.001618065,0.007327739],"study_design_scores_gemma":[0.00001090486,0.00002281415,0.994283,0.00004160843,0.00003567473,0.0000298276,0.001317331,0.002076316,0.00005046407,0.0002386942,0.001879536,0.0000138277],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842756,0.001286227,0.0002370642,0.003747158,0.00001354195,0.00004986476,0.005497324,0.00001020848,0.004882951],"genre_scores_gemma":[0.9969783,0.0004369731,0.0001131724,0.000155339,0.000008038276,0.000007264664,0.001452341,0.000003635643,0.0008449756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04749653,"threshold_uncertainty_score":0.3446131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08605462825695248,"score_gpt":0.3198592791769145,"score_spread":0.233804650919962,"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."}}