{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003186918,0.0002903836,0.000217385,0.0009623134,0.0007784027,0.0003017327,0.0002522026,0.0002329985,0.001132029],"category_scores_gemma":[0.000821905,0.0001825397,0.0002403803,0.0006162972,0.000334372,0.0003326899,0.0005615109,0.0002834442,0.00008596647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005675864,"about_ca_system_score_gemma":0.0006566998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05229072,"about_ca_topic_score_gemma":0.09079181,"domain_scores_codex":[0.9998693,0.00001707426,0.00001538803,0.00002635527,0.00002417234,0.00004761157],"domain_scores_gemma":[0.9997107,0.00001596892,0.0001241326,0.00001228281,0.00004222167,0.00009456083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003433857,0.00004334154,0.9976122,0.00001246258,0.00001948258,0.0000784802,0.0005272578,0.00003344604,0.0001639303,0.00001502564,0.00007281701,0.001387109],"study_design_scores_gemma":[0.000001624715,0.00002269072,0.9993567,0.000004910456,0.000004392675,0.00002885699,0.0004668551,0.00004996689,0.00001101951,0.00001175078,0.00003984221,0.000001400155],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997405,0.00004248892,0.00001327345,0.00002805225,0.000001445681,0.000005258782,0.00005961865,6.474222e-7,0.000108672],"genre_scores_gemma":[0.9997552,0.00002957007,0.00002381455,0.00001603532,0.000001340602,0.000004859624,0.00007935624,1.967146e-7,0.00008961181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05229072,"threshold_uncertainty_score":0.1039727,"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."}}