{"id":"W4225700113","doi":"10.1177/0272989x221089268","title":"Developing Economic Models for Assessing the Cost-Effectiveness of Multiple Diagnostic Tests: Methods and Applications","year":2022,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; SickKids Foundation; Hospital for Sick Children; University of Toronto; Public Health Ontario","funders":"","keywords":"Computer science; Statistical hypothesis testing; Measure (data warehouse); Conditional independence; Econometrics; Data mining; Machine learning; Risk analysis (engineering); Statistics; Artificial intelligence; Mathematics; Medicine","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.02765387,0.003007605,0.00246412,0.004228286,0.0006608187,0.003444563,0.003966989,0.003760679,0.007353981],"category_scores_gemma":[0.06955029,0.001407746,0.003804785,0.004152543,0.001569847,0.003241468,0.002189012,0.004947481,0.0008131667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005831869,"about_ca_system_score_gemma":0.005929891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01053245,"about_ca_topic_score_gemma":0.007633734,"domain_scores_codex":[0.9874835,0.009918485,0.000429438,0.0006106404,0.001211155,0.000346777],"domain_scores_gemma":[0.9368239,0.05672905,0.002564152,0.001110531,0.002359918,0.0004124514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008539067,0.0001147193,0.002203092,0.0005265186,0.0003459539,0.0002017687,0.0001030914,0.8017995,0.0001592476,0.1514919,0.00408041,0.03888845],"study_design_scores_gemma":[0.00005001004,0.00005579503,0.0003603868,0.0002883431,0.0001256199,0.00009500897,0.00003768816,0.8697206,0.000169456,0.1241486,0.004903755,0.00004484667],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004966152,0.002261673,0.9859891,0.002205441,0.0001096893,0.000574822,0.000473712,0.0001333404,0.003286169],"genre_scores_gemma":[0.1841791,0.007312309,0.7972115,0.000926292,0.0003850067,0.004443739,0.0007244646,0.0002384946,0.004579165],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02765387,"threshold_uncertainty_score":0.1462494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4644500495612203,"score_gpt":0.5643131345755833,"score_spread":0.09986308501436297,"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."}}