{"id":"W4402737940","doi":"10.1016/j.jclinepi.2024.111545","title":"Development of a Canadian Guidance for reporting real-world evidence for regulatory and health-technology assessment (HTA) decision-making","year":2024,"lang":"en","type":"article","venue":"Journal of Clinical Epidemiology","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of British Columbia; Institute of Health Economics; University of Alberta; Université Laval; University of Manitoba; Canadian Agency for Drugs and Technologies in Health; St. Michael's Hospital; Sunnybrook Hospital; Dalhousie University; University of New Brunswick; University of Toronto","funders":"Health Canada; National Institute for Health and Care Research; Canadian Defence Academy","keywords":"Clinical decision making; Health technology; Policy making; Medicine; MEDLINE; Environmental health; Risk analysis (engineering); Intensive care medicine; Political science; Economic growth; Health care; Public administration; Economics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["metaresearch"],"domain":"reporting","study_design":"not_applicable","genre":"methods","about_ca_system":true,"about_ca_topic":true,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["metaresearch"],"domain":"reporting","study_design":"not_applicable","genre":"methods","about_ca_system":true,"about_ca_topic":true,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.3640176,0.004145423,0.006018861,0.03252024,0.008006879,0.01847692,0.02021895,0.02462336,0.007450164],"category_scores_gemma":[0.6061967,0.005178239,0.01131864,0.02255905,0.009521217,0.007126572,0.01017248,0.02567752,0.005247467],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09065589,"about_ca_system_score_gemma":0.4506733,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6568071,"about_ca_topic_score_gemma":0.6412607,"domain_scores_codex":[0.5335592,0.2232732,0.09146294,0.009582085,0.1322753,0.009847367],"domain_scores_gemma":[0.2608956,0.2226281,0.04159998,0.03296806,0.4281683,0.01373998],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003430002,0.0002412659,0.003809907,0.01236638,0.0006521751,0.000824087,0.003879982,0.007431616,0.001124793,0.05713379,0.7079291,0.2042638],"study_design_scores_gemma":[0.0007918478,0.0002696149,0.0109734,0.04555761,0.001114219,0.000698267,0.001330475,0.009430216,0.002325593,0.03134035,0.8953158,0.0008526382],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00447112,0.03444811,0.3615358,0.3003587,0.01395947,0.1018016,0.04181463,0.005263657,0.1363469],"genre_scores_gemma":[0.01635327,0.01309834,0.8989435,0.02783662,0.0009471419,0.02406424,0.008286021,0.0004763968,0.009994529],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9093441,"threshold_uncertainty_score":0.7842795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8756252443528417,"score_gpt":0.6853199142414161,"score_spread":0.1903053301114256,"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."}}