{"id":"W4318672081","doi":"10.1148/radiol.221785","title":"Supplemental Breast Cancer Screening in Women with Dense Breasts and Negative Mammography: A Systematic Review and Meta-Analysis","year":2023,"lang":"en","type":"review","venue":"Radiology","topic":"AI in cancer detection","field":"Computer Science","cited_by":130,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Joseph’s Healthcare Hamilton; Sinai Health System; Princess Margaret Cancer Centre; McMaster University; Women's College Hospital; University of Toronto; University Health Network","funders":"","keywords":"Medicine; Mammography; Meta-analysis; Breast cancer; Screening mammography; Cancer; Radiology; Gynecology; Medical physics; 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":[0.01292828,0.002553028,0.02005859,0.006221841,0.0005710141,0.002851611,0.001894769,0.002026243,0.003048575],"category_scores_gemma":[0.03462872,0.001445205,0.03428512,0.006608953,0.0007134267,0.001595287,0.001378332,0.001586332,0.0002512855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002590753,"about_ca_system_score_gemma":0.004028054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008870374,"about_ca_topic_score_gemma":0.01856862,"domain_scores_codex":[0.9902262,0.004742487,0.002651112,0.001088081,0.0009905911,0.000301499],"domain_scores_gemma":[0.9766042,0.01778109,0.003275934,0.0006344504,0.001478291,0.0002260737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.001613312,0.00002528538,0.004463543,0.4571442,0.5241114,0.0001063608,0.00007734627,0.0004999045,0.0001648578,0.0001143354,0.0005347628,0.01114478],"study_design_scores_gemma":[0.0004033785,0.0001781752,0.004204796,0.03551392,0.9579136,0.0000914233,0.00003760243,0.000163764,0.00009419953,0.0001535398,0.001224443,0.00002130147],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003248923,0.9954674,0.0003367667,0.000129043,0.00008162978,0.0001937991,0.0003786114,0.00001766601,0.0001461255],"genre_scores_gemma":[0.1526041,0.8415396,0.002339357,0.0008324648,0.0002353556,0.001320459,0.0008573337,0.00002658649,0.0002447549],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02005859,"threshold_uncertainty_score":0.06837207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05284240375586524,"score_gpt":0.3292527069291568,"score_spread":0.2764103031732916,"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."}}