{"id":"W2979401663","doi":"10.1093/geront/gnz104","title":"Neighborhood Social Cohesion, Resilience, and Psychological Well-Being Among Chinese Older Adults in Hawai’i","year":2019,"lang":"en","type":"article","venue":"The Gerontologist","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"York University","keywords":"Psychology; Psychological distress; Cohesion (chemistry); Psychological resilience; Distress; Population; Social support; Life satisfaction; Ethnic group; Chinese people; Demography; Gerontology; Clinical psychology; Developmental psychology; China; Social psychology; Mental health; Medicine; Sociology; Psychiatry; Geography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.001029375,0.000135921,0.0002710084,0.00003762683,0.0006380666,0.00007712139,0.0003806728,0.0001941271,0.000343302],"category_scores_gemma":[0.0002612141,0.00008420471,0.00005197631,0.0002247862,0.0007476,0.0001650928,0.00007774418,0.0002721274,0.0000644775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006682759,"about_ca_system_score_gemma":0.00004319054,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01214829,"about_ca_topic_score_gemma":0.02874557,"domain_scores_codex":[0.9981649,0.0003825456,0.0002753129,0.0003214361,0.0002612702,0.0005945336],"domain_scores_gemma":[0.9991809,0.0003929179,0.00009637809,0.0001927649,0.00003049363,0.0001065793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005700839,0.00006147194,0.9612728,0.00002545411,0.000002480408,0.000005820603,0.01362585,9.713661e-7,6.547626e-7,0.02134183,0.001236224,0.00236941],"study_design_scores_gemma":[0.0005312586,0.00003327654,0.986675,0.00003374462,0.000002884675,0.000001371958,0.008583903,0.00003403293,3.52034e-7,0.002924722,0.001058748,0.0001206962],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9052396,0.0002662376,0.000009192047,0.01104669,0.0003798709,0.0004340686,0.000001248537,0.00005373169,0.08256938],"genre_scores_gemma":[0.9959718,0.0001740885,0.00002396597,0.002195401,0.0001912072,0.00002375651,0.000001538688,0.000006837617,0.001411389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09073223,"threshold_uncertainty_score":0.9944299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01595725727785101,"score_gpt":0.3379802879634752,"score_spread":0.3220230306856242,"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."}}