{"id":"W2775814529","doi":"10.1007/s10552-017-0995-7","title":"The performance of mobile screening units in a breast cancer screening program in Brazil","year":2017,"lang":"en","type":"article","venue":"Cancer Causes & Control","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":45,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Medicine; Breast cancer; Mammography; Breast cancer screening; Population; Cancer registry; Cancer; Confidence interval; Retrospective cohort study; Logistic regression; Cancer screening; Relative risk; Gynecology; Internal medicine; Obstetrics; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005768277,0.0002647617,0.0006204181,0.0001365095,0.0003881834,0.0001133941,0.0005153141,0.0001240436,0.00006988912],"category_scores_gemma":[0.0001364289,0.0002003682,0.00009767935,0.0004032644,0.0003540267,0.0004536799,0.0001025973,0.0004873887,0.00000230731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002269031,"about_ca_system_score_gemma":0.0005542624,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01349205,"about_ca_topic_score_gemma":0.01196431,"domain_scores_codex":[0.9977681,0.00006200272,0.0005822218,0.0003893467,0.0004878925,0.0007104587],"domain_scores_gemma":[0.9981958,0.0001186722,0.000424013,0.0007057274,0.0004002455,0.0001554874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001336358,0.00003623575,0.7469414,0.0000699677,0.00007511103,0.00003761323,0.0002018197,0.001908444,0.0007048294,0.00002205462,0.0001752278,0.2484909],"study_design_scores_gemma":[0.005998104,0.0002917075,0.9693765,0.002653686,0.0001073408,0.00002853408,0.0004893166,0.01460152,0.0006550488,0.00000485775,0.005550818,0.0002425859],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874446,0.00825499,0.00005685931,0.002127564,0.000217958,0.001318055,0.00008000441,0.00004766359,0.000452285],"genre_scores_gemma":[0.9950825,0.002236834,0.0001472349,0.0006364424,0.0002902911,0.001395672,0.000004035186,0.00003380037,0.0001732167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2482483,"threshold_uncertainty_score":0.9930772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05557489507968348,"score_gpt":0.3741972785561973,"score_spread":0.3186223834765138,"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."}}