{"id":"W2019444174","doi":"10.1016/j.socscimed.2008.06.012","title":"Ethnicity and utilization of family physicians: A case study of Mainland Chinese immigrants in Toronto, Canada","year":2008,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":95,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University; Queen's University; Toronto Metropolitan University","funders":"","keywords":"Immigration; Focus group; Ethnic group; Socioeconomic status; Census; Mainland China; Health care; Metropolitan area; Medicine; Multiculturalism; Cultural diversity; Qualitative property; Mainland; Family medicine; Population; Geography; Sociology; China; Economic growth; Environmental health","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":[0.0005081965,0.0005344758,0.0004512231,0.001884902,0.01169659,0.001729652,0.001297256,0.001244038,0.002489005],"category_scores_gemma":[0.001660875,0.0005144123,0.0005087124,0.003804276,0.001913945,0.0006258013,0.001871619,0.001311923,0.0002462523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02495795,"about_ca_system_score_gemma":0.02264723,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9784015,"about_ca_topic_score_gemma":0.9923329,"domain_scores_codex":[0.998876,0.0001387598,0.00004912344,0.00007214311,0.0001791946,0.0006846803],"domain_scores_gemma":[0.9985495,0.0001568645,0.000265187,0.00004219053,0.0004071081,0.0005790533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001186195,0.0002552005,0.8354481,0.00007753129,0.00005096336,0.02653553,0.1301338,0.00008580573,0.000819337,0.0004769347,0.00123956,0.004758652],"study_design_scores_gemma":[0.00001005487,0.0001199939,0.6041736,0.0001111408,0.00005277994,0.008372917,0.3844694,0.0002824165,0.0002170775,0.00008188941,0.002060447,0.00004830038],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998445,0.0001765079,0.00002237257,0.0002208967,0.00000481631,0.00001763227,0.0001049808,0.000001263059,0.001006573],"genre_scores_gemma":[0.998476,0.0003447194,0.00007216353,0.0001534236,0.000006395844,0.000007645769,0.00006805144,0.000003660334,0.0008679579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02495795,"threshold_uncertainty_score":0.1810834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07135112203395613,"score_gpt":0.4631088906886266,"score_spread":0.3917577686546705,"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."}}