{"id":"W2807915975","doi":"10.3747/co.25.3770","title":"Screening for Breast Cancer in 2018—What Should We be Doing Today?","year":2018,"lang":"en","type":"review","venue":"Current Oncology","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":258,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Public Health; Ottawa Hospital","funders":"","keywords":"Overdiagnosis; Medicine; Mammography; Breast cancer; False positive paradox; Breast cancer screening; Medical physics; Digital Breast Tomosynthesis; Breast imaging; Gynecology; Cancer; Radiology; Internal medicine; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001163577,0.0006267898,0.00148593,0.002470303,0.0003750154,0.001261261,0.0009652123,0.001547788,0.002939781],"category_scores_gemma":[0.003573342,0.0003372647,0.0007657267,0.0028179,0.0004682488,0.002229628,0.0005762777,0.002041064,0.0008328807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001084783,"about_ca_system_score_gemma":0.002931078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00457391,"about_ca_topic_score_gemma":0.01048593,"domain_scores_codex":[0.9995387,0.000111378,0.0001242016,0.00005336426,0.000139736,0.00003271382],"domain_scores_gemma":[0.9987714,0.0005751797,0.0002181417,0.00002178755,0.0003283801,0.00008511861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007997183,0.00003069713,0.0005447757,0.06807852,0.0001767381,0.0001354496,0.0001719384,0.0001179365,0.0002152258,0.002016516,0.04657222,0.88186],"study_design_scores_gemma":[0.00002644324,0.0001105394,0.003869636,0.0937548,0.0005852144,0.001394856,0.000439325,0.00006617569,0.0001137689,0.002321213,0.8972865,0.00003142402],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00003657378,0.9987153,0.0000117252,0.0008464199,0.000205366,0.000001995419,0.00001282703,0.000001835354,0.0001679116],"genre_scores_gemma":[0.0002861947,0.9991565,0.00003350887,0.0003425778,0.00009938335,0.000002471801,0.00001235335,4.099539e-7,0.00006654197],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00457391,"threshold_uncertainty_score":0.009834588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5489817169719764,"score_gpt":0.5568763592344391,"score_spread":0.007894642262462725,"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."}}