{"id":"W4238730279","doi":"10.32920/ryerson.14648124","title":"Health perceptions and experiences of Cantonese-speaking older immigrant women from mainland China living in Toronto","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Immigration; Mainland China; Qualitative research; Perception; China; Mainland; Social determinants of health; Inequality; Intersectionality; Gender studies; Health care; Language barrier; Sociology; Gerontology; Psychology; Medicine; Public health; Political science; Nursing; Geography; Social science","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":[0.0006726753,0.000399865,0.0003450513,0.0005459589,0.00571621,0.001484705,0.0004445734,0.0004495219,0.002113444],"category_scores_gemma":[0.001148224,0.0002281188,0.0003010078,0.0009277332,0.00232752,0.0005096071,0.002396258,0.0007567832,0.0001421423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008975944,"about_ca_system_score_gemma":0.006216754,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8026313,"about_ca_topic_score_gemma":0.9238629,"domain_scores_codex":[0.9995955,0.0001133286,0.00002349076,0.00002939598,0.00005739798,0.0001809034],"domain_scores_gemma":[0.9991417,0.0001330243,0.000123274,0.00002210666,0.000150711,0.0004292562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001113064,0.0000477662,0.1561441,0.0001396922,0.00002166958,0.001405331,0.8335384,0.00004209162,0.001484619,0.000265781,0.0009470231,0.005852329],"study_design_scores_gemma":[0.000002814958,0.00008056795,0.09695023,0.00007209973,0.00001243819,0.0001568147,0.9011635,0.0000312041,0.00008207736,0.00002577374,0.001408887,0.00001365797],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987226,0.0001819517,0.00001106162,0.0002001771,0.000005945934,0.000006119976,0.00004333991,9.734754e-7,0.0008277442],"genre_scores_gemma":[0.9987411,0.0002985283,0.00002862781,0.0001066262,0.000002770991,0.000007941146,0.00003731823,0.000001033577,0.0007761115],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1973687,"threshold_uncertainty_score":0.397062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01677436651845111,"score_gpt":0.335323835270972,"score_spread":0.3185494687525209,"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."}}