{"id":"W2101771332","doi":"10.1109/titb.2008.2009441","title":"Computer-Aided Detection and Diagnosis of Breast Cancer With Mammography: Recent Advances","year":2009,"lang":"en","type":"review","venue":"IEEE Transactions on Information Technology in Biomedicine","topic":"AI in cancer detection","field":"Computer Science","cited_by":622,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Breast cancer; Mammography; Medicine; Cancer; CAD; Computer-aided diagnosis; Cancer detection; Computer science; Medical physics; Radiology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002038349,0.0003873866,0.0009556431,0.004504142,0.0001114128,0.00002966091,0.0004839973,0.0005053881,0.00001139164],"category_scores_gemma":[0.00000271986,0.0003047163,0.00009013544,0.004949855,0.0003302155,0.001137881,0.000006480362,0.0006502802,0.000004747214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000329531,"about_ca_system_score_gemma":0.0001317899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004900727,"about_ca_topic_score_gemma":0.00008660581,"domain_scores_codex":[0.9980123,0.00005292983,0.0009630825,0.0003636596,0.0003354712,0.0002725594],"domain_scores_gemma":[0.9983848,0.00009518165,0.0007462088,0.0005241259,0.0001861074,0.00006353113],"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":[0.00002044337,0.00005548286,0.000005964392,0.001466543,0.00005968969,0.000001639141,0.00005716858,0.0001449463,0.000001130358,0.00003771016,0.00001137855,0.9981379],"study_design_scores_gemma":[0.002650351,0.003529567,0.0001820239,0.02538312,0.0005490342,0.001129163,0.0001159825,0.003674594,0.001653059,0.0007355966,0.9592558,0.001141705],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.00001449666,0.3902933,0.6074388,0.0007218083,0.0005791595,0.0006392722,0.00004950098,0.0002515761,0.00001210684],"genre_scores_gemma":[0.001472232,0.9931626,0.004532923,0.00008199698,0.00003166826,0.0006981301,0.000005941835,0.00001269573,0.000001849796],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9969962,"threshold_uncertainty_score":0.9999405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01071806549686138,"score_gpt":0.2711614395953258,"score_spread":0.2604433740984644,"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."}}