{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000298548,0.0002688432,0.0007701988,0.0002412521,0.00006585424,0.00000558331,0.0001710802,0.00005565855,0.00131876],"category_scores_gemma":[0.00004313705,0.0001759067,0.00004463483,0.0005947535,0.0001347987,0.0001642635,0.00003027221,0.0002545097,2.842433e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003881224,"about_ca_system_score_gemma":0.001528198,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9987872,"about_ca_topic_score_gemma":0.9993437,"domain_scores_codex":[0.9975078,0.00005743911,0.0006390595,0.0004217697,0.0008368724,0.0005370271],"domain_scores_gemma":[0.9987848,0.00009710885,0.0002659796,0.0003549694,0.0001978673,0.0002993206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009100899,0.00005472815,0.9807453,0.0000637361,0.00008058961,0.0001163943,0.0007407442,0.00005886696,0.0001528163,0.00001034915,0.01059194,0.0064744],"study_design_scores_gemma":[0.005294184,0.0002401605,0.9865171,0.003926508,0.0001048999,0.00001225032,0.001441017,0.00003851172,0.00005356675,0.00001254728,0.002154951,0.0002042625],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906252,0.001166626,0.0001074618,0.006893687,0.0003376692,0.0005942028,0.000063897,0.00002616023,0.0001850759],"genre_scores_gemma":[0.9951028,0.0000534776,0.00001976577,0.001207075,0.0002272542,0.0003085862,0.00002196685,0.0000269716,0.003032052],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008436991,"threshold_uncertainty_score":0.9999427,"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."}}