{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001598472,0.0008065305,0.001164792,0.003730747,0.0002275212,0.00105646,0.001557508,0.001473732,0.002850234],"category_scores_gemma":[0.00246859,0.0004821538,0.00055044,0.003722322,0.0006813426,0.001751082,0.0007161546,0.001333449,0.002562373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006975898,"about_ca_system_score_gemma":0.000802682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002090621,"about_ca_topic_score_gemma":0.002145536,"domain_scores_codex":[0.9992482,0.0001536436,0.00008404534,0.0001174432,0.000356022,0.00004054737],"domain_scores_gemma":[0.9978203,0.001129442,0.0001740855,0.0000532391,0.0007478663,0.00007513746],"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":[0.00005879821,0.00009813913,0.0005904329,0.005430652,0.0000619577,0.0001833591,0.00005275752,0.0004789495,0.00163541,0.00184963,0.01037278,0.9791871],"study_design_scores_gemma":[0.00003241696,0.0003860107,0.005150785,0.004168357,0.0002040226,0.008978117,0.0001689102,0.002015593,0.004139593,0.004087508,0.9705842,0.00008454434],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003572988,0.9957768,0.001583052,0.0003522986,0.0001367298,0.00001483551,0.00001246332,0.00002452303,0.001742061],"genre_scores_gemma":[0.00300043,0.9922694,0.003052919,0.0002695025,0.0004296477,0.00001534179,0.0000331708,0.000005060536,0.0009245011],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003730747,"threshold_uncertainty_score":0.009534955,"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."}}