{"id":"W2337263874","doi":"10.1002/cam4.700","title":"Breast cancer screening disparities among immigrant women by world region of origin: a population‐based study in Ontario, Canada","year":2016,"lang":"en","type":"article","venue":"Cancer Medicine","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":100,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; Institute for Clinical Evaluative Sciences; Centre for Global Health Research; University of Toronto; Toronto Metropolitan University; St. Michael's Hospital","funders":"Canadian Cancer Society Research Institute; University of Toronto; Ontario Ministry of Health and Long-Term Care; Institute for Clinical Evaluative Sciences","keywords":"Medicine; Immigration; Breast cancer screening; Mammography; Cancer screening; Breast cancer; Poisson regression; Demography; Pap test; Population; Health care; Gerontology; Outreach; Ethnic group; Family medicine; Cancer; Cervical cancer; Environmental health; Geography; Cervical cancer screening; 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":[0.0006042931,0.0003484135,0.0004558978,0.001104496,0.003936374,0.001166585,0.001097196,0.0004412035,0.001519519],"category_scores_gemma":[0.001297932,0.000426856,0.0006445091,0.003591982,0.0007512011,0.0004224924,0.0009212265,0.0005399126,0.0002099487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02218743,"about_ca_system_score_gemma":0.03107492,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.993622,"about_ca_topic_score_gemma":0.9971446,"domain_scores_codex":[0.9993603,0.00004084488,0.00004571927,0.0001096816,0.0002046845,0.0002388513],"domain_scores_gemma":[0.9988488,0.00005481502,0.000234779,0.00004782328,0.0004466674,0.0003670573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007221122,0.00005583691,0.9933904,0.00004052096,0.00003913264,0.0001490176,0.002277694,0.00004106839,0.0002688572,0.00007719138,0.001023775,0.002564226],"study_design_scores_gemma":[0.00001437651,0.00002805447,0.9951015,0.00004893772,0.00002731257,0.00007252196,0.003518368,0.0001710841,0.00004025683,0.00002341061,0.0009429623,0.00001131173],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951899,0.0004080616,0.00007278012,0.0003453328,0.000009549161,0.00007952905,0.002384189,0.000006389104,0.001504346],"genre_scores_gemma":[0.9975367,0.0004822854,0.0001437214,0.0001944822,0.000004664424,0.00004292692,0.0008694832,0.000004432529,0.0007214817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02218743,"threshold_uncertainty_score":0.1609818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04780199547944368,"score_gpt":0.3077852575017655,"score_spread":0.2599832620223218,"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."}}