{"id":"W4200056619","doi":"10.1177/00914150211065408","title":"Physical Health of Older Canadians: Do Intersections Between Immigrant and Refugee Status, Racialized Status, and Socioeconomic Position Matter?","year":2021,"lang":"en","type":"article","venue":"The International Journal of Aging and Human Development","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Toronto Metropolitan University; University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Immigration; Acculturation; Socioeconomic status; Odds; Health equity; Gerontology; Disadvantage; Demography; Psychology; Medicine; Sociology; Geography; Public health; Logistic regression; Population; Political science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001232318,0.0003410409,0.0004911677,0.001451869,0.002590053,0.00136353,0.0008243565,0.0006878784,0.002560321],"category_scores_gemma":[0.003355806,0.0002142842,0.0007021878,0.002615666,0.000956566,0.0006027067,0.0008728032,0.0005729484,0.0001857383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005396468,"about_ca_system_score_gemma":0.01059882,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9335869,"about_ca_topic_score_gemma":0.9692048,"domain_scores_codex":[0.9993207,0.00006323551,0.00003217844,0.00008731487,0.0001964487,0.0003000952],"domain_scores_gemma":[0.9987665,0.0001007575,0.0002985601,0.00004825147,0.000439736,0.0003461831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006946435,0.00003266178,0.9934912,0.00002983209,0.0000691872,0.00003747628,0.000615607,0.00001965753,0.00004081076,0.00009397701,0.0005026037,0.004997457],"study_design_scores_gemma":[0.000002521604,0.00001492663,0.9982935,0.00002745498,0.00002153312,0.00001488001,0.001221978,0.00003737963,0.000008177971,0.00003566184,0.0003176805,0.000004469029],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920211,0.002047543,0.00005530566,0.001014618,0.00002644626,0.00002375615,0.001636692,0.000003343964,0.003171058],"genre_scores_gemma":[0.998038,0.0007905613,0.00006530359,0.0001722423,0.00001578774,0.000008769003,0.0005746286,0.000001923392,0.0003327868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0664131,"threshold_uncertainty_score":0.1336084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01520467183803064,"score_gpt":0.3300479604427951,"score_spread":0.3148432886047644,"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."}}