{"id":"W2170378574","doi":"10.1186/1745-6215-15-201","title":"Incorporating external evidence in trial-based cost-effectiveness analyses: the use of resampling methods","year":2014,"lang":"en","type":"article","venue":"Trials","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver Coastal Health; University of Ottawa; Centre for Advancing Health Outcomes; University of British Columbia","funders":"Canadian Institutes of Health Research; Simon Fraser University","keywords":"Randomized controlled trial; Resampling; Computer science; Parametric statistics; Sample size determination; Bayesian probability; Prior probability; Medicine; Econometrics; Machine learning; Statistics; Artificial intelligence; Mathematics; Surgery","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2634298,0.002740906,0.003338606,0.005295313,0.001119598,0.004366287,0.003804998,0.003975639,0.004133112],"category_scores_gemma":[0.5360757,0.001407414,0.004920318,0.003753908,0.005102396,0.005379745,0.00565876,0.005821086,0.0006096009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002559254,"about_ca_system_score_gemma":0.00513302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002141804,"about_ca_topic_score_gemma":0.001898318,"domain_scores_codex":[0.6070223,0.3696799,0.006265182,0.003968845,0.01245559,0.0006082392],"domain_scores_gemma":[0.3545098,0.6005034,0.01330991,0.02292955,0.007996376,0.0007509417],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000812083,0.0003638113,0.009167441,0.004583478,0.005231926,0.000639686,0.001530217,0.1010763,0.0007439232,0.4813625,0.004975646,0.3895129],"study_design_scores_gemma":[0.0009190591,0.0007503532,0.002025609,0.002780561,0.00151245,0.000474628,0.0001743623,0.3016413,0.001488691,0.675052,0.01299465,0.0001863011],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002142339,0.001562479,0.9924805,0.001138534,0.0001700208,0.0009674161,0.00006722558,0.000119967,0.001351526],"genre_scores_gemma":[0.1596913,0.002529911,0.8291344,0.001479178,0.0006052488,0.005564678,0.000187513,0.0001610002,0.0006467485],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7365702,"threshold_uncertainty_score":0.9083222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.960974795643908,"score_gpt":0.6754584961738133,"score_spread":0.2855162994700947,"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."}}