{"id":"W2894171415","doi":"10.1200/jco.2018.36.30_suppl.41","title":"Pan-Canadian Oncology Drug Review (pCODR): A unique model to support harmonization of cancer drug funding decisions in Canada.","year":2018,"lang":"en","type":"review","venue":"Journal of Clinical Oncology","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Agency for Drugs and Technologies in Health; Health Sciences Centre; Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Harmonization; Concordance; Cancer drugs; Family medicine; Drug; Actuarial science; Pharmacology; Business; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1779275,0.001099831,0.001070143,0.01470859,0.008237367,0.01651965,0.006567988,0.004220818,0.006642249],"category_scores_gemma":[0.2233045,0.001574854,0.00184315,0.01333819,0.00405168,0.005934897,0.0101582,0.00514437,0.001930216],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1174588,"about_ca_system_score_gemma":0.5476252,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8402386,"about_ca_topic_score_gemma":0.9478039,"domain_scores_codex":[0.832416,0.07354661,0.01663985,0.01133703,0.05815247,0.007908086],"domain_scores_gemma":[0.568397,0.05385004,0.02974941,0.02510273,0.2666426,0.05625815],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003775948,0.0001734217,0.02104764,0.00580135,0.000694101,0.0007968242,0.003869636,0.002051689,0.001237897,0.04825995,0.6032333,0.3124567],"study_design_scores_gemma":[0.0002680617,0.0001619611,0.0305536,0.003739876,0.0002950921,0.0004997679,0.001250807,0.003244604,0.0005167724,0.005637779,0.9536068,0.0002248705],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.0217468,0.07654624,0.07381795,0.5189241,0.01262135,0.02099222,0.01290852,0.005088968,0.2573538],"genre_scores_gemma":[0.3467926,0.03127876,0.430966,0.1132189,0.005009362,0.00799907,0.00803777,0.001397623,0.05529994],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.8825412,"threshold_uncertainty_score":0.9409819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7783201006569027,"score_gpt":0.6289006342464639,"score_spread":0.1494194664104388,"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."}}