{"id":"W4399157297","doi":"10.1016/j.case.2024.04.007","title":"Color Doppler Aliasing: Unmasking the Diagnosis of Cardiac Rosai-Dorfman","year":2024,"lang":"en","type":"article","venue":"CASE","topic":"Histiocytic Disorders and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Aliasing; Medicine; Radiology; Computer science; Artificial intelligence; Internal medicine; Cardiology; Computer vision","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":[0.00008893004,0.00008260805,0.000162832,0.000039974,0.00006710392,0.00001889688,0.00002782129,0.00003503476,0.0001618094],"category_scores_gemma":[0.00005234225,0.00005040813,0.0001155532,0.0001554546,0.00007062214,0.00002515944,0.00001862573,0.0000678953,0.00006283145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005641079,"about_ca_system_score_gemma":0.00006511759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000283946,"about_ca_topic_score_gemma":0.00002241297,"domain_scores_codex":[0.9994862,0.00002016463,0.0001242922,0.0001388409,0.0001121819,0.0001183018],"domain_scores_gemma":[0.9995659,0.0001246772,0.00001933489,0.0002025848,0.00002921626,0.00005827295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003244376,0.001715223,0.1270517,0.001936868,0.004067452,0.08917584,0.0207539,0.00006775305,0.0009096798,0.02134455,0.3952145,0.3374381],"study_design_scores_gemma":[0.002265884,0.0007874793,0.007323351,0.001058924,0.003383039,0.006216925,0.003636585,0.002187507,0.008982753,0.0005414838,0.9632216,0.000394482],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853081,0.005569331,0.00001236606,0.001097389,0.0004333101,0.000290488,0.00005475102,0.00004462272,0.007189648],"genre_scores_gemma":[0.997837,0.0001288728,0.00007721456,0.000130246,0.00008488214,0.00006474932,0.00001730335,0.00001663579,0.001643118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5680071,"threshold_uncertainty_score":0.2055584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02881422466869814,"score_gpt":0.3097749264124665,"score_spread":0.2809607017437683,"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."}}