{"id":"W2036184384","doi":"10.1586/14737167.6.3.337","title":"Statistical analysis of cost–effectiveness data from randomized clinical trials","year":2006,"lang":"en","type":"article","venue":"Expert Review of Pharmacoeconomics & Outcomes Research","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Population Health Research Institute","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Randomized controlled trial; Clinical trial; Medicine; Quality-adjusted life year; Cost effectiveness; Intensive care medicine; Computer science; Actuarial science; Risk analysis (engineering); Economics; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.4036639,0.0003724749,0.01288221,0.001145508,0.0001272756,0.00007307731,0.001857031,0.0002201125,0.006977701],"category_scores_gemma":[0.08625936,0.0003662883,0.001546471,0.0007718352,0.0007116206,0.0005328438,0.0005687503,0.0005675771,0.0007234901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005055584,"about_ca_system_score_gemma":0.0005061118,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01058015,"about_ca_topic_score_gemma":0.0001717695,"domain_scores_codex":[0.9438747,0.03021803,0.02315736,0.00157917,0.0004174235,0.0007533853],"domain_scores_gemma":[0.8565335,0.1336596,0.00672885,0.002354213,0.0003908536,0.0003330135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.008356156,0.002556403,0.3328437,0.01195693,0.0265588,0.000008926827,0.0005002331,0.0004693168,0.00005417324,0.2049684,0.4029865,0.008740455],"study_design_scores_gemma":[0.1665609,0.0002288886,0.1484554,0.004673075,0.003842126,0.000002579703,0.0005842924,0.1903285,0.0002219871,0.03853199,0.44407,0.0025003],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.1432885,0.6428699,0.08161087,0.04692159,0.004745825,0.02308832,0.04791944,0.0001255738,0.009429983],"genre_scores_gemma":[0.4569125,0.4699424,0.02895869,0.02497339,0.002763998,0.002604682,0.01289966,0.0002746156,0.0006699948],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.3174045,"threshold_uncertainty_score":0.9998789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7149237058138445,"score_gpt":0.7380444397128959,"score_spread":0.02312073389905145,"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."}}