{"id":"W1911616118","doi":"10.1377/hlthaff.2014.0552","title":"Comparative Effectiveness And Cost-Effectiveness Analyses Frequently Agree On Value","year":2015,"lang":"en","type":"article","venue":"Health Affairs","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Health Economics","funders":"","keywords":"Cost effectiveness; Comparative effectiveness research; Outcomes research; Cost–benefit analysis; Quality-adjusted life year; Incremental cost-effectiveness ratio; Medicine; Actuarial science; Value (mathematics); Health care; Economics; Risk analysis (engineering); Computer science; Alternative 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.02342058,0.0003332666,0.001907534,0.0004485719,0.0002918434,0.00008988174,0.0002232285,0.0001580995,0.00004498635],"category_scores_gemma":[0.001978012,0.0003864234,0.0001147108,0.0003488444,0.0001523671,0.0004124326,0.00006004399,0.0002908726,0.001321956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001826371,"about_ca_system_score_gemma":0.0005626038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00331767,"about_ca_topic_score_gemma":0.0002651441,"domain_scores_codex":[0.9934086,0.002615917,0.002275413,0.0008735182,0.0001723935,0.0006541787],"domain_scores_gemma":[0.9938334,0.003136876,0.001558986,0.0005464528,0.000123282,0.0008010176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00109367,0.001259793,0.1703312,0.005759765,0.0008096014,0.0000170921,0.01854714,0.0171604,0.00002388526,0.7177231,0.06524705,0.002027231],"study_design_scores_gemma":[0.01251034,0.00362122,0.8013211,0.001615589,0.00004179779,0.0000469634,0.01641856,0.01704227,0.0002422022,0.07552651,0.06953119,0.002082274],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8772956,0.01878263,0.01851152,0.03342801,0.003002176,0.009499216,0.0009600693,0.0003625747,0.03815825],"genre_scores_gemma":[0.994321,0.0001074369,0.0008369889,0.003944292,0.0002153196,0.0004320224,0.00005044904,0.00003842459,0.00005407261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6421967,"threshold_uncertainty_score":0.9998588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6759083348840824,"score_gpt":0.5442382936312463,"score_spread":0.1316700412528361,"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."}}