{"id":"W2972979332","doi":"10.1093/jnci/djz184","title":"Long-Term Outcomes and Cost-Effectiveness of Breast Cancer Screening With Digital Breast Tomosynthesis in the United States","year":2019,"lang":"en","type":"article","venue":"JNCI Journal of the National Cancer Institute","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Center for Advancing Translational Sciences; Audrey and Theodor Geisel School of Medicine at Dartmouth; Georgetown University; University of California, San Francisco; National Cancer Institute; Kaiser Permanente; University of Toronto; Kaiser Permanente Washington Health Research Institute; Norris Cotton Cancer Center; Breast Cancer Society of Canada; Dartmouth College; Hologic; University of Wisconsin-Madison","keywords":"Medicine; Breast cancer; Breast cancer screening; Mammography; Cohort; Cost effectiveness; Digital mammography; Cancer; Oncology; Demography; Internal medicine; Gynecology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004233232,0.0001341897,0.0002922905,0.0002836137,0.00005007124,0.00007002432,0.000200854,0.00002916611,0.00001511663],"category_scores_gemma":[0.00004137988,0.00006492394,0.000123243,0.0006057491,0.0002008701,0.0007283907,0.00003176467,0.0002277916,2.998046e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001352489,"about_ca_system_score_gemma":0.0002797825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002618648,"about_ca_topic_score_gemma":0.00007865768,"domain_scores_codex":[0.9987015,0.00005135256,0.0002772455,0.0001070556,0.0007240344,0.0001388582],"domain_scores_gemma":[0.9987671,0.000262306,0.0002886622,0.00008628966,0.0005404166,0.00005520508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001243191,0.0001177366,0.9791343,0.0001259904,0.0003372724,0.00001547559,0.0001272172,0.00328,0.0001231136,0.0001192692,0.000027365,0.01534905],"study_design_scores_gemma":[0.00201353,0.00005887816,0.9931507,0.001841009,0.0001040461,0.00212791,0.00008398642,0.0001071159,0.0001662863,0.00006994217,0.0001934404,0.00008311697],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958147,0.0001743719,0.00008501435,0.002686881,0.0001850108,0.000331423,0.0003566235,0.000003892784,0.0003620241],"genre_scores_gemma":[0.9993294,0.00006103247,0.00002834352,0.0004159047,0.0001002583,0.00001273681,0.00001075628,0.000009926657,0.00003157236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01526593,"threshold_uncertainty_score":0.2647521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03319979960732257,"score_gpt":0.3215147978729913,"score_spread":0.2883149982656688,"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."}}