{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001079081,0.0003101584,0.0004288925,0.0009925228,0.00251074,0.0009695537,0.001223019,0.0004221852,0.001921599],"category_scores_gemma":[0.00332661,0.0002948798,0.0008757318,0.003807363,0.000691027,0.0003795671,0.001602402,0.00058161,0.0001886333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02088768,"about_ca_system_score_gemma":0.02687192,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9905373,"about_ca_topic_score_gemma":0.9950712,"domain_scores_codex":[0.998877,0.0001072485,0.00008071535,0.00017967,0.0003462223,0.0004090203],"domain_scores_gemma":[0.997475,0.0001279735,0.0006763201,0.0001342382,0.0009128537,0.0006735894],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009799306,0.00002698247,0.9946972,0.00005170189,0.00006673089,0.00005314591,0.00107377,0.00003229555,0.00005948394,0.00006858414,0.00151228,0.002259742],"study_design_scores_gemma":[0.00001310912,0.000009438565,0.9981067,0.00004090732,0.0000338165,0.00002197202,0.0009168875,0.00006747462,0.00001126102,0.00001730048,0.0007551032,0.000005999494],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9841027,0.001264744,0.0001217075,0.0009763907,0.00002716384,0.00009655036,0.009838318,0.00001177508,0.003560735],"genre_scores_gemma":[0.9955742,0.0005869013,0.0001399784,0.0002072563,0.0000123051,0.00005446032,0.002721974,0.000006321398,0.0006963696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02088768,"threshold_uncertainty_score":0.1515514,"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."}}