{"id":"W4401167417","doi":"10.1016/j.vhri.2024.101030","title":"Health Utility Values Among Patients With Diabetic Retinopathy, Wet Age-Related Macular Degeneration, and Cataract in Thailand: A Multicenter Survey Using Time Trade-Off, EQ-5D-5L, and Health Utility Index 3","year":2024,"lang":"en","type":"article","venue":"Value in Health Regional Issues","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kingston Health Sciences Centre; Queen's University","funders":"Faculty of Medicine, Chulalongkorn University; Chulalongkorn University","keywords":"Medicine; Macular degeneration; Time-trade-off; Diabetic retinopathy; Index (typography); Multicenter study; EQ-5D; Ophthalmology; Optometry; Diabetes mellitus; Internal medicine; Quality of life (healthcare); Endocrinology; Health related quality of life; Disease; Randomized controlled trial","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":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.02966014,0.0004224828,0.00176008,0.0006940226,0.0003583958,0.0001855723,0.0001861643,0.000227802,0.00004559762],"category_scores_gemma":[0.0006776267,0.000461513,0.00006941059,0.0005654073,0.000310369,0.000667756,0.00007326379,0.0005617739,0.00002969379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001270101,"about_ca_system_score_gemma":0.0009087676,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.107001,"about_ca_topic_score_gemma":0.010537,"domain_scores_codex":[0.9897186,0.003105495,0.004650412,0.001317684,0.0002947871,0.00091298],"domain_scores_gemma":[0.9963731,0.0009852338,0.001538087,0.0004999349,0.00006340665,0.0005402588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006381572,0.0002254957,0.9878749,0.001782693,0.00003727707,0.000004510688,0.006859238,0.0003689031,7.396619e-8,0.0005668651,0.001559267,0.0006569057],"study_design_scores_gemma":[0.001170842,0.0002140154,0.8353542,0.001177255,0.000002944595,0.000004497788,0.000190752,0.1586833,2.453057e-7,0.001502112,0.001399126,0.0003006955],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9173691,0.04180373,0.0001152126,0.03773372,0.0002980272,0.002085869,0.0005167399,0.0000656897,0.00001196584],"genre_scores_gemma":[0.9916123,0.002533032,0.0007812882,0.004178239,0.00009581404,0.00005658386,0.0006252896,0.0000623285,0.00005516262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1583144,"threshold_uncertainty_score":0.9997836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.249377114493696,"score_gpt":0.3890831820608227,"score_spread":0.1397060675671267,"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."}}