{"id":"W2948368473","doi":"10.1186/s13023-019-1104-7","title":"Factors associated with positive and negative recommendations for cancer and non-cancer drugs for rare diseases in Canada","year":2019,"lang":"en","type":"article","venue":"Orphanet Journal of Rare Diseases","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Alberta Health; University of Alberta","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Reimbursement; Population; Cancer drugs; MEDLINE; Cancer; Family medicine; Clinical trial; Environmental health; Health care; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.02071496,0.0003440898,0.0008760936,0.004584055,0.002515758,0.003828006,0.002509666,0.001635133,0.002526212],"category_scores_gemma":[0.2360068,0.000613203,0.001501353,0.01063896,0.00123472,0.001204872,0.001784641,0.002667116,0.0002078316],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.034524,"about_ca_system_score_gemma":0.1012244,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8894075,"about_ca_topic_score_gemma":0.9218033,"domain_scores_codex":[0.9381959,0.01044727,0.01736489,0.003932596,0.02659333,0.003465961],"domain_scores_gemma":[0.6394208,0.1333059,0.137307,0.007236208,0.06229391,0.02043619],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004958169,0.00008925722,0.9570673,0.001956458,0.0007145613,0.0003567786,0.001696344,0.0004483374,0.0001857191,0.000479553,0.008764674,0.02774511],"study_design_scores_gemma":[0.0000815856,0.00009111589,0.9851039,0.001504568,0.0004319926,0.0005803793,0.001807335,0.0008427839,0.0001530648,0.000153072,0.009185545,0.0000646992],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8732606,0.03255361,0.001291673,0.03267207,0.0005221114,0.001573951,0.02989984,0.0001539314,0.02807232],"genre_scores_gemma":[0.9852605,0.005661985,0.002794055,0.002324319,0.0001302241,0.0001926785,0.002613139,0.00003383269,0.0009891958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9792851,"threshold_uncertainty_score":0.2504903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1213562897357083,"score_gpt":0.3672432264315804,"score_spread":0.2458869366958721,"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."}}