{"id":"W4293161987","doi":"10.1016/j.jval.2022.07.015","title":"Generic Health-Related Quality of Life Utility Measure for Preschool Children (Health Utilities Preschool): Design, Development, and Properties","year":2022,"lang":"en","type":"article","venue":"Value in Health","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact; Dalhousie University; Public Health Ontario; University of Toronto; McMaster University","funders":"Canadian Institutes of Health Research","keywords":"Health Utilities Index; Intraclass correlation; Interpretability; Quality of life (healthcare); Reliability (semiconductor); Psychology; Quality (philosophy); Index (typography); Test (biology); Statistics; Developmental psychology; Health related quality of life; Applied psychology; Psychometrics; Mathematics; Artificial intelligence; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01037285,0.0005403275,0.0005604567,0.00177532,0.0003359331,0.0008068887,0.0008320101,0.0004243762,0.003356318],"category_scores_gemma":[0.01533958,0.0003035071,0.001362696,0.002182275,0.0004573604,0.0008442388,0.001090202,0.0009889841,0.0004443088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001998652,"about_ca_system_score_gemma":0.004111604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0049513,"about_ca_topic_score_gemma":0.007959321,"domain_scores_codex":[0.9953544,0.002389983,0.0007713829,0.0002849225,0.0009815673,0.0002177554],"domain_scores_gemma":[0.9949813,0.001912653,0.000912328,0.0003881787,0.001561556,0.000243931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003115506,0.001474329,0.5659312,0.001741398,0.0005010251,0.0003435475,0.001465987,0.006595102,0.003132199,0.009297907,0.01737573,0.389026],"study_design_scores_gemma":[0.0005584538,0.005576557,0.9382707,0.0007906906,0.0004160425,0.0008079166,0.001493961,0.0131171,0.006515299,0.003253242,0.02902301,0.0001768723],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7700648,0.002307277,0.1359261,0.0009231004,0.0002175952,0.04315003,0.03143114,0.0009073341,0.01507263],"genre_scores_gemma":[0.7286206,0.001107698,0.2005657,0.0002613766,0.00003667691,0.05141973,0.01581376,0.0001351396,0.002039388],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01037285,"threshold_uncertainty_score":0.05485749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.573156690105205,"score_gpt":0.3917258968953179,"score_spread":0.181430793209887,"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."}}