{"id":"W2592032075","doi":"10.1111/tbj.12785","title":"A Population-Based Cross-Sectional Study Comparing Breast Cancer Stage at Diagnosis between Immigrant and Canadian-Born Women in Ontario","year":2017,"lang":"en","type":"article","venue":"The Breast Journal","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; Institute of Health Services and Policy Research; Institute for Work & Health; Institute for Clinical Evaluative Sciences; University of Toronto; Public Health Ontario; Women's College Hospital","funders":"Ontario Ministry of Health and Long-Term Care; Institute for Clinical Evaluative Sciences; Cancer Care Ontario","keywords":"Medicine; Breast cancer; Immigration; Ethnic group; Demography; Stage (stratigraphy); Odds ratio; Logistic regression; Cancer registry; Gynecology; Population; Obstetrics; Cancer; Cross-sectional study; Internal medicine; Environmental health","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":[0.0006756848,0.0003549241,0.0004615398,0.0008761224,0.002894135,0.0008257349,0.0008210314,0.0004206993,0.001484597],"category_scores_gemma":[0.001789033,0.0005250165,0.000682375,0.003060658,0.0006987639,0.0004015078,0.0007322779,0.0004847934,0.000179714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01803025,"about_ca_system_score_gemma":0.01833039,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9870917,"about_ca_topic_score_gemma":0.9914842,"domain_scores_codex":[0.9992588,0.00006182742,0.00005289782,0.0001637532,0.0002338758,0.0002289246],"domain_scores_gemma":[0.9986088,0.0001028203,0.0003458494,0.00007371899,0.0005074016,0.0003615784],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008653702,0.00002046012,0.9971624,0.00004425189,0.00005791631,0.00008759034,0.0008213806,0.00002349566,0.0002026763,0.00003464336,0.000409665,0.001048969],"study_design_scores_gemma":[0.00001019568,0.00002644493,0.99873,0.00001601426,0.00002299332,0.00004921153,0.0006468989,0.00005780111,0.00001605583,0.000009750533,0.0004097507,0.000004850356],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951049,0.000423211,0.00008880253,0.00016906,0.000008566554,0.00005124295,0.003011568,0.000006785329,0.001135836],"genre_scores_gemma":[0.997546,0.0002902356,0.0001551991,0.0001056895,0.000005372994,0.00003521366,0.001308397,0.000003067876,0.0005507926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01803025,"threshold_uncertainty_score":0.1308193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0848928854372503,"score_gpt":0.3534302013625475,"score_spread":0.2685373159252972,"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."}}