{"id":"W7077082746","doi":"10.1016/j.mric.2025.06.004","title":"Adrenal Incidentaloma","year":2025,"lang":"en","type":"article","venue":"Magnetic Resonance Imaging Clinics of North America","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Adrenocortical adenoma; Diagnostic accuracy; Incidentaloma; Pheochromocytoma; Magnetic resonance imaging; Adenoma","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":[0.0001952312,0.0001592465,0.0002816026,0.00009788582,0.00009223934,0.00004968878,0.001227802,0.00002897733,0.00004281193],"category_scores_gemma":[0.000587107,0.0001610754,0.0001132203,0.000811439,0.0003008871,0.0001506952,0.0005484,0.0001977989,0.00002638081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001578507,"about_ca_system_score_gemma":0.0001377701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004853619,"about_ca_topic_score_gemma":0.000008218807,"domain_scores_codex":[0.9984028,0.00005413201,0.000517933,0.000463123,0.000232252,0.0003297241],"domain_scores_gemma":[0.9984072,0.0003408752,0.0002064003,0.0007888903,0.0001922651,0.00006437585],"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":[0.000007424659,0.00005352488,0.2609189,0.0000234941,0.000002549759,0.00001939988,0.00006100498,0.00006212734,0.00002000957,0.0004699534,0.004293754,0.7340679],"study_design_scores_gemma":[0.0003422741,0.00008549997,0.4213114,0.00007920971,0.000008144939,0.000009919607,0.00002383152,0.0275567,0.0001086606,0.003067186,0.5472328,0.0001743554],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2998601,0.06225839,0.3525062,0.05411706,0.003199596,0.001290679,0.00006004953,0.001150756,0.2255572],"genre_scores_gemma":[0.9472248,0.0002729333,0.04611942,0.002326109,0.00004296052,0.00002132758,0.000007652583,0.000004057084,0.003980759],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7338935,"threshold_uncertainty_score":0.6568466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006922383992071947,"score_gpt":0.2519365036116985,"score_spread":0.2450141196196265,"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."}}