{"id":"W2810904118","doi":"10.1007/s10903-018-0779-5","title":"Breast and Colorectal Cancer Screening Barriers Among Immigrants and Refugees: A Mixed-Methods Study at Three Community Health Centres in Toronto, Canada","year":2018,"lang":"en","type":"article","venue":"Journal of Immigrant and Minority Health","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Michael's Hospital; Access Alliance Multicultural Health and Community Services; University of Toronto","funders":"Department of Family and Community Medicine, University of Toronto","keywords":"Medicine; Mammography; Immigration; Public health; Family medicine; Population; Health care; Refugee; Fecal occult blood; Breast cancer screening; Breast cancer; Thematic analysis; Focus group; Logistic regression; Language barrier; Colorectal cancer; Gerontology; Colonoscopy; Environmental health; Nursing; Cancer; Qualitative research; Geography; Sociology; Internal medicine; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002621575,0.0002208904,0.0008033508,0.0001291066,0.0006848456,0.00003001477,0.00007443633,0.0000765896,0.00001676407],"category_scores_gemma":[0.0001046787,0.0001835637,0.00004893348,0.0001811373,0.0002013935,0.0001736257,0.00009688566,0.0006231815,3.21203e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001633204,"about_ca_system_score_gemma":0.001154151,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9914767,"about_ca_topic_score_gemma":0.9994462,"domain_scores_codex":[0.997572,0.0007234063,0.0006932803,0.0002329734,0.0003390616,0.0004392515],"domain_scores_gemma":[0.9981868,0.0001841496,0.000503318,0.0001387262,0.0001712693,0.0008156992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004302618,0.00008762416,0.7783371,0.000186256,0.00008639061,0.00001834986,0.006039293,3.970798e-7,0.00006409835,0.000001192165,0.0004748268,0.2104019],"study_design_scores_gemma":[0.003308933,0.006751968,0.9663901,0.0005231013,0.0000541922,0.0009502294,0.02123019,0.0002513628,0.00007071488,0.000005287985,0.0003250102,0.0001389205],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9825528,0.01544711,0.0000851038,0.001029972,0.0003354252,0.0004737292,0.0000408785,0.00001082916,0.00002410101],"genre_scores_gemma":[0.9975833,0.001032058,0.0008001037,0.0003206994,0.0002223185,0.000007003085,0.00000229716,0.00001331308,0.00001895809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.210263,"threshold_uncertainty_score":0.7485512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01301373046608199,"score_gpt":0.3401919494881878,"score_spread":0.3271782190221058,"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."}}