{"id":"W2084992308","doi":"10.1016/j.canep.2009.12.001","title":"Breast cancer screening among Asian immigrant women in Canada","year":2009,"lang":"en","type":"article","venue":"Cancer Epidemiology","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":45,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Newfoundland and Labrador Centre for Applied Health Research","keywords":"Medicine; Immigration; Demography; Logistic regression; Socioeconomic status; Mammography; Confounding; Breast cancer screening; Multivariate analysis; Gerontology; Breast cancer; Asian americans; Asian Indian; Population; Ethnic group; Cancer; Environmental health; Pathology; Geography; Internal medicine","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":[0.000958345,0.0002754964,0.001051308,0.0001244021,0.00007641119,0.000004889965,0.000214007,0.0001582944,0.0007572229],"category_scores_gemma":[0.0002116426,0.0002420517,0.00009685191,0.0003744005,0.0001066711,0.0001284671,0.00003398284,0.0005386989,0.00000550756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003809141,"about_ca_system_score_gemma":0.002252782,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9761986,"about_ca_topic_score_gemma":0.9607642,"domain_scores_codex":[0.9969194,0.0001966177,0.0007048668,0.0005624234,0.0002145036,0.001402191],"domain_scores_gemma":[0.9986033,0.0001706697,0.0002225908,0.0003417016,0.0001012837,0.0005604011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003591953,0.00001183015,0.8890655,0.00002384281,0.00004719982,0.0001615011,0.0002626395,0.001241035,0.00007374139,0.00007958255,0.008115251,0.1005587],"study_design_scores_gemma":[0.0009907773,0.00009404046,0.991588,0.0004642109,0.0000310709,0.0001058349,0.0009830595,0.001069066,0.00003096234,0.0003705155,0.004027541,0.0002449508],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9568067,0.006069606,0.0001734101,0.03481957,0.0004662028,0.0003191277,0.00008040268,0.00004582505,0.001219138],"genre_scores_gemma":[0.9802542,0.0005934869,0.0003041693,0.01786706,0.000502784,0.0001639304,0.00001466684,0.00001839868,0.000281252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1025224,"threshold_uncertainty_score":0.996077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08324740322617738,"score_gpt":0.3668971456919126,"score_spread":0.2836497424657352,"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."}}