{"id":"W2941632791","doi":"10.1177/0272989x19851049","title":"Manipulating the 5 Dimensions of the EuroQol Instrument: The Effects on Self-Reporting Actual Health and Valuing Hypothetical Health States","year":2019,"lang":"en","type":"article","venue":"Medical Decision Making","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 British Columbia","funders":"EuroQol Research Foundation","keywords":"Anxiety; EQ-5D; Context (archaeology); Valuation (finance); Psychology; Population; Mental health; Medicine; Psychiatry; Disease; Environmental health; Economics","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.008409366,0.0009496848,0.0006146327,0.0004640392,0.0005058544,0.001756934,0.0007346131,0.00145677,0.00621511],"category_scores_gemma":[0.04591515,0.0006765263,0.0009019155,0.000426762,0.001698939,0.001257382,0.001536318,0.001980615,0.000353495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008679947,"about_ca_system_score_gemma":0.0006435025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005493943,"about_ca_topic_score_gemma":0.0004704381,"domain_scores_codex":[0.9867824,0.009034099,0.001165733,0.001182264,0.001428249,0.000407183],"domain_scores_gemma":[0.8576977,0.1257477,0.01010808,0.003811175,0.001118809,0.001516558],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.1640513,0.09199762,0.1830131,0.00611364,0.002830264,0.0006278469,0.02124614,0.01082472,0.2873341,0.01427085,0.002740317,0.2149502],"study_design_scores_gemma":[0.02006528,0.2345826,0.6045842,0.0008196154,0.002607893,0.0005064139,0.003950302,0.01812895,0.08419853,0.012789,0.0169783,0.0007890645],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950505,0.0001225535,0.001763365,0.0001668972,0.00005884513,0.0004466152,0.0001828534,0.00002582346,0.002182605],"genre_scores_gemma":[0.9761207,0.0001912641,0.01890606,0.0003592692,0.00005689828,0.003054807,0.0002097684,0.00002886499,0.001072404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9915906,"threshold_uncertainty_score":0.04447353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.210523940971156,"score_gpt":0.4309809826712778,"score_spread":0.2204570417001217,"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."}}