{"id":"W2556765288","doi":"","title":"CHALLENGES ON THE PATH TO REIMBURSEMENT OF ONCOLOGY DRUGS: INSIGHTS FROM THE COST-EFFECTIVENESS DECISIONS OF THE PAN-CANADIAN ONCOLOGY DRUG REVIEW","year":2016,"lang":"en","type":"article","venue":"38th Annual North American Meeting of the Society for Medical Decision Making","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Reimbursement; Medicine; Oncology; Precision oncology; Internal medicine; Intensive care medicine; Cancer; Health care; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0273638,0.000692412,0.001602686,0.004248261,0.003012612,0.01363156,0.002145255,0.005201756,0.007021247],"category_scores_gemma":[0.09045004,0.0004284416,0.001582759,0.00600112,0.00468866,0.004422991,0.002100562,0.007269936,0.0005586114],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06251383,"about_ca_system_score_gemma":0.1234652,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6879154,"about_ca_topic_score_gemma":0.8571391,"domain_scores_codex":[0.9774567,0.00695619,0.0009517301,0.0006404824,0.01103438,0.002960487],"domain_scores_gemma":[0.8991181,0.05164517,0.004953442,0.001009999,0.03673062,0.006542713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0006457251,0.0001423024,0.01721115,0.002891863,0.0008141964,0.0007068351,0.001594286,0.01219266,0.0004670621,0.2155415,0.4441529,0.3036395],"study_design_scores_gemma":[0.0002573327,0.0001911112,0.05099614,0.01139892,0.001121227,0.0007020771,0.005292326,0.008186548,0.0004776695,0.102552,0.818363,0.0004616888],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01777505,0.1614528,0.001312953,0.7700131,0.001390584,0.00006152512,0.001269227,0.00002891867,0.04669586],"genre_scores_gemma":[0.5539879,0.2501575,0.006369581,0.1749493,0.006060417,0.00008315738,0.001328281,0.0001162181,0.006947768],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9374862,"threshold_uncertainty_score":0.6278449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03669649819028917,"score_gpt":0.3510447455995132,"score_spread":0.3143482474092241,"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."}}