{"id":"W4319960953","doi":"10.3390/curroncol30020167","title":"CT Texture Analysis of Adrenal Pheochromocytomas: A Pilot Study","year":2023,"lang":"en","type":"article","venue":"Current Oncology","topic":"Adrenal and Paraganglionic Tumors","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pheochromocytoma; Malignancy; Medicine; Radiology; Texture (cosmology); Pathology; Nuclear medicine; Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0004081778,0.0002861374,0.0003001438,0.001091724,0.0001641091,0.0004919087,0.0001390143,0.0002171674,0.0008197044],"category_scores_gemma":[0.001628378,0.0001645939,0.0003264719,0.0005264123,0.0002386215,0.0002424228,0.0002592761,0.0001802951,0.0001386096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001882154,"about_ca_system_score_gemma":0.0001277407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001224462,"about_ca_topic_score_gemma":0.0009361486,"domain_scores_codex":[0.9998517,0.00004295316,0.00001199643,0.000032163,0.00003738806,0.00002366071],"domain_scores_gemma":[0.9992425,0.0002543986,0.0001354595,0.0001060953,0.0001414381,0.0001201644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00582274,0.0009275912,0.781692,0.0002556975,0.0003017917,0.005710322,0.0006385007,0.002440993,0.1241539,0.0001296214,0.0003636192,0.07756327],"study_design_scores_gemma":[0.0001054735,0.00187213,0.9698845,0.00001603627,0.0001596453,0.009102335,0.0004162511,0.009656771,0.007835935,0.0001480695,0.0007733798,0.00002936769],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983442,0.0002179993,0.001106746,0.00001405187,0.000003489135,0.00002308551,0.00009095063,0.000009847251,0.0001896107],"genre_scores_gemma":[0.9989972,0.0001172854,0.0006805985,0.000009504913,0.000016395,0.000007600993,0.0001032185,0.000006005831,0.00006216533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001224462,"threshold_uncertainty_score":0.002742231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1687140141811662,"score_gpt":0.4454461386574529,"score_spread":0.2767321244762866,"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."}}