{"id":"W3142649038","doi":"","title":"The NICE Cost-Effectiveness Threshold: What it is and What that Means","year":2008,"lang":"en","type":"article","venue":"MPRA Paper","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Nice; Excellence; Reimbursement; Equity (law); Actuarial science; Cost effectiveness; Health technology; Psychological intervention; Economics; Medicine; Business; Health care; Public economics; Risk analysis (engineering); Computer science; Political science; Economic growth","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":[0.1690504,0.003580517,0.01258231,0.01167367,0.002703882,0.02795621,0.01216062,0.02322962,0.006936674],"category_scores_gemma":[0.4601523,0.002221076,0.00821409,0.008048385,0.01521018,0.03239641,0.007532266,0.02915217,0.004449544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01995417,"about_ca_system_score_gemma":0.02581932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0180104,"about_ca_topic_score_gemma":0.01071635,"domain_scores_codex":[0.7437208,0.147639,0.03822174,0.007492379,0.05708409,0.005842127],"domain_scores_gemma":[0.6478578,0.2376205,0.02422889,0.01182353,0.06885714,0.009612136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001145355,0.0002082707,0.003234562,0.03094333,0.001713921,0.0003227597,0.001589151,0.003791987,0.0003808457,0.2382878,0.4511027,0.2672793],"study_design_scores_gemma":[0.0006012882,0.0006605304,0.004895783,0.1190476,0.002019069,0.001401214,0.001932291,0.004047947,0.0007656498,0.4099133,0.453954,0.00076125],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001135423,0.3142239,0.01713744,0.6239231,0.0207341,0.0004995215,0.001462538,0.0003108938,0.02057309],"genre_scores_gemma":[0.1019235,0.2657657,0.1108875,0.4714274,0.0369943,0.005125652,0.003476642,0.001148205,0.00325104],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1690504,"threshold_uncertainty_score":0.8940346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4012173657302667,"score_gpt":0.4189184831127356,"score_spread":0.01770111738246893,"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."}}