{"id":"W2996479328","doi":"10.1002/hec.4017","title":"Disability and multidimensional quality of life: A capability approach to health status assessment","year":2020,"lang":"en","type":"article","venue":"Health Economics","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Leverhulme Trust","keywords":"Quality of life (healthcare); Health related quality of life; EQ-5D; Quality-adjusted life year; Quality (philosophy); Medicine; MEDLINE; Actuarial science; Business; Risk analysis (engineering); Nursing; Political science","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"],"consensus_categories":[],"category_scores_codex":[0.02314442,0.0003403164,0.002690366,0.0001206943,0.0003043022,0.00004675099,0.0002567317,0.0001494841,0.0001235121],"category_scores_gemma":[0.003339065,0.0004494834,0.0001748065,0.0002145251,0.0002572141,0.0003590672,0.0002095078,0.0003367087,0.0001310746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002109926,"about_ca_system_score_gemma":0.001978684,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01159236,"about_ca_topic_score_gemma":0.0007247914,"domain_scores_codex":[0.9878489,0.001125819,0.008592356,0.001400218,0.0001134193,0.0009192622],"domain_scores_gemma":[0.9915705,0.00118926,0.004075174,0.0008222974,0.00007583894,0.002266879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001304876,0.0007964395,0.7621372,0.004704707,0.00009317952,3.097925e-8,0.007556036,0.002056788,0.000001120077,0.2127396,0.008603835,0.001180587],"study_design_scores_gemma":[0.001776616,0.0004420344,0.9338329,0.00003342272,0.000002485986,8.521772e-7,0.002331467,0.02766228,7.908084e-7,0.002665451,0.03075338,0.0004983455],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7877353,0.001747305,0.006356581,0.1981163,0.0003058542,0.002367767,0.002444747,0.00007075487,0.0008554194],"genre_scores_gemma":[0.8613325,0.0004817847,0.05610471,0.08149195,0.0002339004,0.0001513233,0.0001423953,0.00004738183,0.00001401323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2100742,"threshold_uncertainty_score":0.9997957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4893507044901516,"score_gpt":0.4828620313043128,"score_spread":0.006488673185838789,"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."}}