{"id":"W3126834980","doi":"10.1016/j.clinimag.2021.01.035","title":"Flat epithelial atypia: What the radiologist needs to know in 2021","year":2021,"lang":"en","type":"review","venue":"Clinical Imaging","topic":"Breast Lesions and Carcinomas","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Cégep de Rivière-du-Loup","funders":"","keywords":"Medicine; Atypia; Radiology; Medical physics; Nuclear medicine; Pathology","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":[],"consensus_categories":[],"category_scores_codex":[0.00186843,0.0004044766,0.002627287,0.0002024741,0.0001067807,0.0002102156,0.0003951206,0.0003416491,0.0003923868],"category_scores_gemma":[0.001112625,0.0002368844,0.001002618,0.0008339026,0.0003670523,0.00009979573,0.0004098438,0.001816715,0.0006244202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001307049,"about_ca_system_score_gemma":0.0008093179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002787523,"about_ca_topic_score_gemma":0.000007653306,"domain_scores_codex":[0.9965025,0.0007409341,0.001412801,0.0006438328,0.0002168872,0.0004830878],"domain_scores_gemma":[0.996756,0.001556761,0.0002177387,0.001085939,0.00006939684,0.0003141531],"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":[0.00001241158,0.00006786724,0.0005932229,0.0005733849,0.00006198115,0.0004854271,0.00003499119,9.190577e-8,6.063842e-7,0.00005992024,0.008249319,0.9898608],"study_design_scores_gemma":[0.0004191809,0.00004554796,0.0007684455,0.02284706,0.0007071649,0.0005657324,0.0003033844,0.00001722408,2.115781e-7,0.00001022347,0.9740695,0.0002463051],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001047836,0.9905139,0.00004890559,0.005884733,0.0019394,0.0007283943,0.00001056963,0.00002519178,0.0007441486],"genre_scores_gemma":[0.0001015311,0.9930983,0.000266432,0.002360079,0.002454212,0.00007832689,0.0001422401,0.00006315991,0.001435782],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9896145,"threshold_uncertainty_score":0.9659865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1006217789913578,"score_gpt":0.4401122897038224,"score_spread":0.3394905107124646,"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."}}