{"id":"W4362698683","doi":"10.3390/curroncol30040310","title":"Real-World Cost-Effectiveness Analysis: How Much Uncertainty Is in the Results?","year":2023,"lang":"en","type":"article","venue":"Current Oncology","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Confidence interval; Cost effectiveness; Health care; Cost-effectiveness analysis; Plot (graphics); Actuarial science; Cost–benefit analysis; Computer science; Statistics; Risk analysis (engineering); Mathematics; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1705408,0.002046936,0.005866365,0.009185158,0.001072798,0.01573902,0.00308745,0.005074668,0.004339795],"category_scores_gemma":[0.5304345,0.001383863,0.004275682,0.01086952,0.008758042,0.02401186,0.003514029,0.009434975,0.0009293889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007337042,"about_ca_system_score_gemma":0.004508205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0028354,"about_ca_topic_score_gemma":0.00180043,"domain_scores_codex":[0.7846279,0.1716099,0.0140667,0.005959336,0.02269012,0.001046129],"domain_scores_gemma":[0.2882374,0.6720518,0.01902849,0.009541211,0.0105537,0.0005873782],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0009088425,0.0001560273,0.01091518,0.03057758,0.01069392,0.0004838503,0.003079741,0.0278846,0.0005786999,0.2018914,0.0331782,0.6796519],"study_design_scores_gemma":[0.0001992479,0.000381831,0.006517825,0.03730462,0.003611096,0.001004877,0.003176572,0.0124084,0.001215288,0.8468853,0.08680125,0.000493692],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.01397542,0.6110761,0.2033038,0.1482247,0.003989642,0.0002861221,0.002233106,0.0003421087,0.01656897],"genre_scores_gemma":[0.5647227,0.2729199,0.1094458,0.03890566,0.01000294,0.001095574,0.001131973,0.0006790563,0.001096638],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8294592,"threshold_uncertainty_score":0.9019169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6769518995572136,"score_gpt":0.5653474785188413,"score_spread":0.1116044210383723,"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."}}