{"id":"W4393224648","doi":"10.2196/53240","title":"Identifying Predictive Risk Factors for Future Cognitive Impairment Among Chinese Older Adults: Longitudinal Prediction Study","year":2024,"lang":"en","type":"article","venue":"JMIR Aging","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Peking University; City University of Hong Kong","keywords":"Logistic regression; Cognition; Gerontology; Population; Medicine; Psychological intervention; Socioeconomic status; Receiver operating characteristic; Demography; Environmental health; Psychiatry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000593061,0.0003722696,0.0003667531,0.0004760001,0.0003692151,0.0002437686,0.000102231,0.0001007652,0.0003414429],"category_scores_gemma":[0.000109962,0.0002778054,0.0002987589,0.0005875783,0.00008715746,0.0005720452,0.0001203302,0.0005988224,0.00002462923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002325953,"about_ca_system_score_gemma":0.0001021813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008992154,"about_ca_topic_score_gemma":0.00002426439,"domain_scores_codex":[0.9972197,0.0001268978,0.000410126,0.0008433323,0.0008066508,0.000593335],"domain_scores_gemma":[0.9988095,0.0002717963,0.00009761744,0.0001999296,0.0003672545,0.0002538933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007326156,0.001155386,0.9694263,0.0006719679,0.001001877,0.0001574119,0.01925201,0.000002179232,0.00002726116,0.000001793588,0.0004007753,0.007170384],"study_design_scores_gemma":[0.004401624,0.002285504,0.9261559,0.001769009,0.0007225797,0.00001925676,0.05969292,0.004482349,0.0001960727,0.00003296408,0.00002950973,0.0002123014],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9824207,0.0005503689,0.007733906,0.00007814261,0.0008358488,0.007282812,0.0003120778,0.0004168019,0.0003693349],"genre_scores_gemma":[0.995585,0.00005880737,0.00003879938,0.00002140169,0.001275052,0.002056624,0.0003067924,0.00007058544,0.0005869436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04327043,"threshold_uncertainty_score":0.9999674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01330267297195811,"score_gpt":0.3434839651477525,"score_spread":0.3301812921757944,"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."}}