{"id":"W3113844091","doi":"10.1093/geroni/igaa057.1094","title":"Gender, Race, and Immigrant Status: Intersecting Implications for Health in Middle and Later Life","year":2020,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Intersectionality; Stressor; Socioeconomic status; Immigration; Mental health; Health equity; Race (biology); Race and health; Psychology; Inequality; Structural equation modeling; Gerontology; Developmental psychology; Social psychology; Sociology; Gender studies; Medicine; Clinical psychology; Public health; Demography; Geography; Population; Psychiatry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002998929,0.0002769104,0.0004248168,0.001037404,0.002305456,0.002257759,0.0006252907,0.0005845613,0.004568622],"category_scores_gemma":[0.00487208,0.0001418374,0.0006030811,0.001003501,0.002230748,0.001191851,0.003955123,0.0008748252,0.0001024764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001849979,"about_ca_system_score_gemma":0.004824105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1000484,"about_ca_topic_score_gemma":0.2123932,"domain_scores_codex":[0.9988611,0.0004528137,0.00003644339,0.0001188861,0.0001390842,0.000391741],"domain_scores_gemma":[0.9974637,0.0009310163,0.000569133,0.0001521747,0.0002789001,0.0006050773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001520364,0.000137818,0.9407912,0.00008903816,0.0001418498,0.0002326658,0.01796567,0.0002250693,0.0008070456,0.01361777,0.0005184215,0.02532128],"study_design_scores_gemma":[0.00000462361,0.00008570241,0.9580723,0.0002700971,0.00008033993,0.00007559787,0.03269972,0.0005072601,0.0002007908,0.006353352,0.001624947,0.00002523768],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913846,0.00130191,0.0005077653,0.001585714,0.0000343711,0.00001139319,0.0001159006,0.000003542052,0.005054728],"genre_scores_gemma":[0.9992862,0.0002601244,0.0001601578,0.00007888104,0.000009881701,0.00000518469,0.00002279156,7.668766e-7,0.0001759583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1000484,"threshold_uncertainty_score":0.1989322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1126322717146314,"score_gpt":0.3955617234944347,"score_spread":0.2829294517798032,"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."}}