{"id":"W2509344196","doi":"10.1080/02185385.2016.1219272","title":"Social exclusion and health among older Chinese in Shanghai, China","year":2016,"lang":"en","type":"article","venue":"Asia Pacific Journal of Social Work and Development","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"MacEwan University","funders":"","keywords":"Social exclusion; China; Chinese people; Logistic regression; Gerontology; Neighbourhood (mathematics); Psychology; Medicine; Demography; Sociology; Geography; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004465292,0.0003555159,0.0002521014,0.0008946131,0.001222523,0.0005243744,0.0002155014,0.0002696997,0.001029299],"category_scores_gemma":[0.0006642156,0.0001889687,0.000364495,0.001109703,0.0004226174,0.0003193348,0.0007208699,0.0003245011,0.00007372311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001151822,"about_ca_system_score_gemma":0.001489749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1469812,"about_ca_topic_score_gemma":0.2542545,"domain_scores_codex":[0.9997774,0.00003573839,0.00002764576,0.00003755022,0.00004155483,0.00008010606],"domain_scores_gemma":[0.9994162,0.00004377582,0.0001642734,0.0000255957,0.0000735608,0.0002766184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003423148,0.00003062982,0.9970529,0.00002047063,0.0000370108,0.00009031964,0.0009209156,0.00002460298,0.0001322985,0.00003453328,0.0001282781,0.001493908],"study_design_scores_gemma":[0.000002408917,0.00001626344,0.9990768,0.000006737169,0.00001353699,0.00002150879,0.0006657771,0.00005984866,0.00001232168,0.00001810888,0.0001041752,0.000002490391],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999403,0.000168894,0.00001364502,0.00008443873,0.000004619178,0.000004279878,0.0001033777,8.504654e-7,0.000216891],"genre_scores_gemma":[0.9996095,0.0001037402,0.00001488752,0.00003569591,0.000005717946,0.000004332562,0.0001021487,4.546546e-7,0.0001236229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1469812,"threshold_uncertainty_score":0.2922514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02088372074387284,"score_gpt":0.322866111411046,"score_spread":0.3019823906671732,"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."}}