{"id":"W3022383324","doi":"10.1007/s11482-020-09838-x","title":"Quality of Life and Depression in the General Korean Population: Normative Data and Associations of the 12-Item Short Form Health Survey (SF-12) and the McGill Quality of Life Questionnaire (MQOL) with Depression (Patient Health Questionnaire-9) and Socioeconomic Status","year":2020,"lang":"en","type":"article","venue":"Applied Research in Quality of Life","topic":"Health and Wellbeing Research","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Korea Health Industry Development Institute","keywords":"Normative; Quality of Life Research; Quality of life (healthcare); Depression (economics); Psychology; Health related quality of life; Population; Gerontology; Clinical psychology; Medicine; Demography; Sociology; Public health; Political science; Economics; Psychotherapist; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009106867,0.0003906405,0.0002963823,0.0009859947,0.0003563994,0.0006543102,0.0004392425,0.000443756,0.0009180457],"category_scores_gemma":[0.002189211,0.0002684291,0.0005017997,0.001520862,0.0003155972,0.0005214625,0.0005067507,0.0005190985,0.0002162826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004360866,"about_ca_system_score_gemma":0.0002654155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006625101,"about_ca_topic_score_gemma":0.006700968,"domain_scores_codex":[0.9996,0.00007191955,0.00009581388,0.0001054152,0.00007422241,0.00005270194],"domain_scores_gemma":[0.9990011,0.0001123316,0.000325779,0.0001129828,0.0002705407,0.0001771808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001769711,0.0001030116,0.9952614,0.00003055767,0.0001647524,0.0000587641,0.0001931958,0.00006551715,0.0003254786,0.00004111235,0.0003299357,0.003249372],"study_design_scores_gemma":[0.000009637448,0.00004253633,0.9992937,0.000004741183,0.00003527572,0.00009995556,0.0001866396,0.00009114946,0.00002844349,0.00002247637,0.000181564,0.000003828926],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974099,0.0003700981,0.000145988,0.00004084673,0.00001430973,0.0000236304,0.001515358,0.000005107397,0.0004747848],"genre_scores_gemma":[0.9973998,0.0001845721,0.0001429291,0.00004162374,0.000007310152,0.00003904614,0.002023941,0.000003453836,0.000157378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006625101,"threshold_uncertainty_score":0.0131731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3387802271455641,"score_gpt":0.5203224374046078,"score_spread":0.1815422102590437,"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."}}