{"id":"W4403817611","doi":"10.2196/59818","title":"Interrelationships Among Individual Factors, Family Factors, and Quality of Life in Older Chinese Adults: Cross-Sectional Study Using Structural Equation Modeling","year":2024,"lang":"en","type":"article","venue":"JMIR Aging","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Peking University","keywords":"Structural equation modeling; Demography; Gerontology; Cross-sectional study; Longitudinal study; Quality of life (healthcare); Medicine; China; Psychology; Geography; Pathology; Mathematics; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009650287,0.0001630667,0.0003707697,0.0004479606,0.0001275343,0.0001835253,0.00008833485,0.0001251386,0.00001629114],"category_scores_gemma":[0.0001191039,0.0001291861,0.00007415515,0.0003126518,0.00003227477,0.0006563734,0.00006475682,0.0003128195,0.000001493521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001601323,"about_ca_system_score_gemma":0.00003848362,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02741641,"about_ca_topic_score_gemma":0.0008846862,"domain_scores_codex":[0.9980617,0.00005182031,0.001220484,0.0003747434,0.0000954516,0.0001958051],"domain_scores_gemma":[0.9994513,0.00006177028,0.0002485473,0.0001299546,0.0000359791,0.00007241761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005718657,0.0000226099,0.9817879,0.0002131917,0.00003210258,3.841801e-7,0.01510498,0.002357765,0.000003650136,0.0004010295,1.646601e-7,0.00007050125],"study_design_scores_gemma":[0.0003211359,0.00001648145,0.8291038,0.00009049688,8.21449e-7,3.224472e-7,0.003084178,0.166742,3.726428e-7,0.0005129413,4.847972e-7,0.0001269127],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958087,0.0008901883,0.002025024,0.000006971457,0.0005861856,0.0004785703,0.000136182,0.00003567438,0.00003250981],"genre_scores_gemma":[0.9997497,0.000004313853,0.00003937254,0.000005449712,0.0001020426,0.00001328008,0.00005518019,0.00001985416,0.00001076669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1643842,"threshold_uncertainty_score":0.9790601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1674996072949945,"score_gpt":0.3663978330610976,"score_spread":0.1988982257661031,"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."}}