{"id":"W4385688392","doi":"10.1620/tjem.2023.j066","title":"Risk Analysis of Breast Cancer by Using Bilateral Mammographic Density Differences: A Case-Control Study","year":2023,"lang":"en","type":"article","venue":"The Tohoku Journal of Experimental Medicine","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Aging","funders":"Japan Society for the Promotion of Science","keywords":"Breast cancer; Medicine; Mammography; BI-RADS; Confidence interval; Odds ratio; Case-control study; MAMMOGRAPHIC DENSITY; Risk factors for breast cancer; Breast imaging; Risk factor; Cancer; Retrospective cohort study; Gynecology; Radiology; Obstetrics; Oncology; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002351323,0.0004817654,0.0005432288,0.001322626,0.0006448255,0.0005844006,0.0005490355,0.0006679078,0.0008769676],"category_scores_gemma":[0.00478489,0.0006345683,0.000654642,0.001181961,0.0005297867,0.0003722085,0.0004916841,0.000453544,0.0001164541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003289397,"about_ca_system_score_gemma":0.000236947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003551328,"about_ca_topic_score_gemma":0.002787458,"domain_scores_codex":[0.9977283,0.00087811,0.0002352015,0.0005962893,0.0004390037,0.0001230301],"domain_scores_gemma":[0.99827,0.0005449061,0.0004137126,0.0004687568,0.0001913981,0.0001113253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007934147,0.0002169258,0.9932566,0.00003428473,0.0003776235,0.0002977967,0.0001147283,0.00006811457,0.001386503,0.0001180964,0.00005583951,0.003279998],"study_design_scores_gemma":[0.0001690215,0.001077292,0.9942216,0.00001156701,0.0004571046,0.001787246,0.0001377836,0.0009386278,0.0005381398,0.0001237323,0.0005223217,0.00001551838],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971877,0.0006799132,0.001546363,0.00002286226,0.00001290019,0.00008067534,0.0001145029,0.000006915538,0.0003480516],"genre_scores_gemma":[0.9984432,0.0001781795,0.001007855,0.00001841508,0.00001804342,0.00006719134,0.0001446011,0.000002545306,0.0001198895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003551328,"threshold_uncertainty_score":0.01243514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02225667158137614,"score_gpt":0.3170652520430602,"score_spread":0.2948085804616841,"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."}}