{"id":"W4210844996","doi":"10.1007/s40258-022-00715-2","title":"Population Norms for SF-6Dv2 and EQ-5D-5L in China","year":2022,"lang":"en","type":"article","venue":"Applied Health Economics and Health Policy","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":54,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; Impact","funders":"National Natural Science Foundation of China","keywords":"EQ-5D; Demography; Residence; Population; Medicine; Quality of Life Research; China; Public health; Gerontology; Geography; Environmental health; Disease; Internal medicine","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":[0.01713742,0.0002978797,0.001627519,0.0009228943,0.00123079,0.00008469757,0.0002142491,0.0001251066,0.00006699765],"category_scores_gemma":[0.000166108,0.0004263853,0.00007417891,0.0002502596,0.00005755246,0.0002406687,0.0001761818,0.0003627083,0.00003908502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002893334,"about_ca_system_score_gemma":0.001079824,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0508839,"about_ca_topic_score_gemma":0.00557529,"domain_scores_codex":[0.9931548,0.0001705403,0.004609972,0.0009431099,0.00005563843,0.001065962],"domain_scores_gemma":[0.9957836,0.0003668126,0.00281947,0.0004335386,0.00001266587,0.0005839695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00004544008,0.00008827727,0.02467937,0.001076099,0.00001860166,9.054129e-8,0.004394155,0.0008824073,1.243822e-7,0.95562,0.005994925,0.007200505],"study_design_scores_gemma":[0.003749566,0.0005192087,0.4484356,0.00003787085,0.000002494255,0.00001408538,0.001642441,0.0148406,1.912429e-7,0.2027357,0.3273806,0.0006416222],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4937735,0.004831708,0.0004190267,0.4928924,0.0005390299,0.004414377,0.001483775,0.00006842351,0.001577687],"genre_scores_gemma":[0.8689657,0.005497909,0.00263595,0.1202595,0.0006968333,0.001308337,0.0003523943,0.00008652562,0.0001968642],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7528843,"threshold_uncertainty_score":0.9998188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3433734074682699,"score_gpt":0.4466723363520667,"score_spread":0.1032989288837967,"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."}}