{"id":"W2750823147","doi":"10.1097/pas.0000000000000943","title":"Diagnostic and Prognostic Biomarkers of Adrenal Cortical Carcinoma","year":2017,"lang":"en","type":"article","venue":"The American Journal of Surgical Pathology","topic":"Adrenal and Paraganglionic Tumors","field":"Medicine","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"","keywords":"Medicine; Adrenocortical carcinoma; Carcinoma; Pathology; Oncology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005444149,0.0002673798,0.0002490074,0.00124732,0.0001601335,0.0005502072,0.0001850395,0.0002839348,0.0006105173],"category_scores_gemma":[0.001754566,0.0001339037,0.0001088091,0.0006184782,0.0002076527,0.0002017432,0.00024998,0.0002125653,0.0001956648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002505618,"about_ca_system_score_gemma":0.0001900188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007637383,"about_ca_topic_score_gemma":0.00103569,"domain_scores_codex":[0.9996319,0.0001004154,0.00003398812,0.00005517606,0.0001202416,0.0000583229],"domain_scores_gemma":[0.999435,0.0001551804,0.0001609859,0.00002886432,0.0001263763,0.00009357106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001150423,0.000060584,0.8749377,0.0001052989,0.0000977979,0.0007700629,0.00009503499,0.0005305925,0.09930234,0.0001153903,0.000291097,0.02254366],"study_design_scores_gemma":[0.00001523506,0.0001834429,0.9798411,0.00001549423,0.00008101435,0.00203207,0.0001687282,0.001585125,0.01436458,0.0002155824,0.001485429,0.00001206535],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939409,0.003749943,0.0008703431,0.0001053986,0.0000131148,0.00001426198,0.0002786066,0.00002475084,0.001002636],"genre_scores_gemma":[0.9986223,0.0004014033,0.0005981422,0.00002144427,0.00001522266,0.000007183656,0.0002088417,0.000001694526,0.0001236631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00124732,"threshold_uncertainty_score":0.002879143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01668037465173922,"score_gpt":0.2864621082898112,"score_spread":0.269781733638072,"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."}}