{"id":"W2915688417","doi":"10.1186/s12885-018-5201-0","title":"Disparities in breast cancer diagnosis for immigrant women in Ontario and BC: results from the CanIMPACT study","year":2019,"lang":"en","type":"article","venue":"BMC Cancer","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research; Institute for Clinical Evaluative Sciences; Queen's University; University of British Columbia; Public Health Ontario; CARE Canada; University of Toronto","funders":"BC Cancer Agency; Canadian Institutes of Health Research; Institute of Population and Public Health; Dalhousie University; University of Toronto; Ontario Ministry of Health and Long-Term Care; Canadian Centre for Applied Research in Cancer Control; Cancer Care Ontario","keywords":"Medicine; Poisson regression; Demography; Breast cancer; Immigration; Population; Breast cancer screening; Cancer; Mammography; Environmental health; Internal medicine; Geography","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":[0.0004147022,0.0001641597,0.000392899,0.00005373829,0.00004371476,0.00003974892,0.0001145387,0.00005853214,0.0004970811],"category_scores_gemma":[0.00006319149,0.0001120223,0.00004159314,0.0001726513,0.00003853984,0.0001257503,0.00004831825,0.000224649,0.000002801056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001689675,"about_ca_system_score_gemma":0.0008145354,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9823475,"about_ca_topic_score_gemma":0.9930656,"domain_scores_codex":[0.9985792,0.00004095229,0.0003100464,0.0003686353,0.0002449423,0.0004561907],"domain_scores_gemma":[0.9992047,0.0002926236,0.00007755448,0.0002592185,0.00005739743,0.0001085053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003355902,0.00007854899,0.9816884,0.00002008348,0.000043498,0.000007971898,0.01094935,0.0001165734,0.0000207411,0.000003765999,0.001862241,0.001852949],"study_design_scores_gemma":[0.006206138,0.0002004484,0.9817923,0.0004847364,0.00004370377,0.000002541314,0.008448456,0.0000788006,0.00001633221,0.00004660376,0.002536314,0.0001435877],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938209,0.001688255,7.98232e-7,0.002092063,0.0002092452,0.001310605,0.000672123,0.00001070359,0.0001952925],"genre_scores_gemma":[0.9957454,0.000561711,0.00002162352,0.0008269715,0.0001473736,0.002015581,0.00001461615,0.0000156833,0.000651081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01071814,"threshold_uncertainty_score":0.544269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06625959874015717,"score_gpt":0.3320400600000668,"score_spread":0.2657804612599096,"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."}}