{"id":"W2921718273","doi":"10.1016/j.carj.2018.10.007","title":"Screening Sensitivity According to Breast Cancer Location","year":2019,"lang":"en","type":"article","venue":"Canadian Association of Radiologists Journal","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre hospitalier universitaire de Québec; Hôpital Maisonneuve-Rosemont; Hôpital du Saint-Sacrement; Université Laval; Institut National de Santé Publique du Québec","funders":"","keywords":"Medicine; Confidence interval; Breast cancer; Mammography; Breast cancer screening; Cancer; Logistic regression; Body mass index; Breast density; Internal medicine; Gynecology; Obstetrics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002601961,0.0003885046,0.0005211122,0.001584285,0.0001608491,0.000602291,0.000531941,0.0004846872,0.001858682],"category_scores_gemma":[0.01936243,0.000366764,0.0008893628,0.000938391,0.0005470208,0.0003902506,0.0005357455,0.0003757632,0.0002972749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005949657,"about_ca_system_score_gemma":0.0002946867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01868247,"about_ca_topic_score_gemma":0.01613939,"domain_scores_codex":[0.9973567,0.001104829,0.0001705946,0.0005155699,0.0005971203,0.0002553344],"domain_scores_gemma":[0.981546,0.01072961,0.00486281,0.0008476011,0.001451784,0.0005623357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001043018,0.000004115787,0.996304,0.0000235665,0.0001005667,0.00008733967,0.00002352151,0.0003035874,0.0002629699,0.000009903693,0.00007214555,0.002703985],"study_design_scores_gemma":[0.000003363916,0.00005993865,0.9978498,0.00001783234,0.00007093204,0.0006231774,0.000023528,0.0009472459,0.0002361668,0.00002956521,0.000131277,0.000007114222],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920872,0.003376433,0.001602284,0.0001713623,0.00001844437,0.00003858108,0.0007402475,0.000065279,0.001900139],"genre_scores_gemma":[0.9992228,0.0001562321,0.0002558727,0.00002957998,0.000007556145,0.000005793155,0.0001491995,0.000004267256,0.0001687326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01868247,"threshold_uncertainty_score":0.03714746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009720246602067698,"score_gpt":0.2545418927192797,"score_spread":0.244821646117212,"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."}}