{"id":"W3028787976","doi":"10.3760/cma.j.issn.1674-2907.2019.01.016","title":"Investigation and analysis of depression and cognitive status of elderly people in aged care institutions in urban area of Hangzhou","year":2019,"lang":"en","type":"article","venue":"Zhonghua xiandai huli zazhi","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Depression (economics); Cognition; Logistic regression; Geriatric Depression Scale; Elderly people; Incidence (geometry); Medicine; Gerontology; Correlation; Psychology; Psychiatry; Depressive symptoms; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002125906,0.00010711,0.0004872484,0.0008732574,0.0000235493,0.000007216389,0.00003532472,0.00007504314,0.00007360706],"category_scores_gemma":[0.0002189075,0.00009601752,0.00005818066,0.001116888,0.0001920203,0.0001301547,0.00005592781,0.0001413192,7.155752e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003320913,"about_ca_system_score_gemma":0.0001880865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001118817,"about_ca_topic_score_gemma":0.001835251,"domain_scores_codex":[0.9987872,0.0001000416,0.0003628006,0.0002426943,0.0002981202,0.0002091862],"domain_scores_gemma":[0.9992445,0.0001369695,0.0001363681,0.0001276525,0.0002418773,0.0001126896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002744809,0.0001111865,0.9675606,0.0003752006,0.0001723487,0.000005266188,0.006811411,0.000006702046,0.01831873,0.00002381525,0.000007479949,0.006332804],"study_design_scores_gemma":[0.00357072,0.0005252757,0.9685427,0.0006855447,0.0004763317,0.000001240209,0.005987915,0.000308381,0.01979612,0.00001561652,0.00001428762,0.0000758982],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962062,0.001488836,0.00005866144,0.00002733135,0.00001635338,0.000603835,0.0001082229,0.000005013966,0.001485576],"genre_scores_gemma":[0.9993083,0.000246035,0.00007522981,0.00001814153,0.000004066777,0.00001995053,0.0002413727,0.000006707223,0.00008014273],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006256906,"threshold_uncertainty_score":0.3915481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0215896129168304,"score_gpt":0.3037732691596763,"score_spread":0.2821836562428459,"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."}}