{"id":"W2537494909","doi":"10.1594/ecr2015/c-1618","title":"Can breast MRI differentiate radial scar without from radial scar with associated atypia or malignancy?","year":2015,"lang":"en","type":"article","venue":"European Society of Radiology","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Malignancy; Atypia; Medicine; Radial fractures; Radiology; Pathology; Wrist","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002565414,0.0008736952,0.0009419013,0.003013822,0.0003793092,0.001490154,0.0007704183,0.002379594,0.005229429],"category_scores_gemma":[0.01113166,0.0003733868,0.0006435828,0.0008041008,0.001008316,0.002306852,0.0006017086,0.0013796,0.004873535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000242475,"about_ca_system_score_gemma":0.0003477838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001296771,"about_ca_topic_score_gemma":0.002001817,"domain_scores_codex":[0.9993508,0.0001109652,0.0001000981,0.00007432501,0.0001993222,0.0001645358],"domain_scores_gemma":[0.9977196,0.0007869502,0.0003102682,0.0002031587,0.0007207398,0.000259218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004229224,0.000483874,0.4144549,0.00180455,0.000347209,0.1327893,0.0005033255,0.001187815,0.04716766,0.00157333,0.03255741,0.3629014],"study_design_scores_gemma":[0.0003481425,0.001294693,0.2424643,0.00241713,0.0008269126,0.66918,0.002435579,0.008626321,0.02615638,0.006262471,0.03974793,0.0002401801],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7901375,0.07423583,0.02252367,0.02962526,0.004062913,0.0005625046,0.001354008,0.001148975,0.07634939],"genre_scores_gemma":[0.952556,0.02162771,0.01436859,0.004084377,0.002899714,0.00004997286,0.0008382579,0.0001339706,0.003441449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005229429,"threshold_uncertainty_score":0.0174942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01633896581676582,"score_gpt":0.2533884342807395,"score_spread":0.2370494684639737,"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."}}