{"id":"W2913226898","doi":"10.1111/ggi.13601","title":"Resilience and affect balance of empty‐nest older adults with mild cognitive impairment in poor rural areas of Hunan province, China","year":2019,"lang":"en","type":"article","venue":"Geriatrics and gerontology international/Geriatrics & gerontology international","topic":"Resilience and Mental Health","field":"Psychology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Affect (linguistics); Medicine; Population; Balance (ability); Gerontology; Psychological resilience; Cognition; Rural area; Demography; Psychology; Psychiatry; Environmental health; Physical therapy","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005729207,0.0004192932,0.0007926908,0.0007618568,0.00006739784,0.00002826785,0.0005987968,0.0003765869,0.0005443242],"category_scores_gemma":[0.00009400043,0.0003804568,0.0001033793,0.0003247106,0.0004749076,0.0003434928,0.000217592,0.0003783095,0.00001810067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000184792,"about_ca_system_score_gemma":0.0002226932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002705804,"about_ca_topic_score_gemma":0.002110038,"domain_scores_codex":[0.9966651,0.0002184969,0.001066516,0.0008953201,0.0005415099,0.0006130814],"domain_scores_gemma":[0.9977346,0.0004408318,0.0009723243,0.0003182566,0.0003697777,0.0001641957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004849367,0.0007929182,0.9753082,0.0001508775,0.0002402342,0.00006571771,0.003755982,0.00001287787,0.0001366352,0.005861229,0.0003274392,0.008498474],"study_design_scores_gemma":[0.007487985,0.00147543,0.9858104,0.0002318057,0.00005805675,0.0004182425,0.003176599,0.0004255133,0.0001590711,0.0002165154,0.0001802167,0.0003601467],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874041,0.002318158,0.000286949,0.0009963585,0.002365144,0.001213202,0.000202078,0.00002751704,0.005186458],"genre_scores_gemma":[0.9970369,0.0008747563,0.0005397993,0.000200104,0.0001409329,0.0001287005,0.0001460819,0.00002925575,0.0009034772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01050217,"threshold_uncertainty_score":0.9998648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008291522595216084,"score_gpt":0.3152302817041455,"score_spread":0.3069387591089294,"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."}}