{"id":"W7116895901","doi":"10.1007/s00428-025-04379-w","title":"The evolving roles of pathologists in paragangliomas and pheochromocytomas","year":2025,"lang":"en","type":"article","venue":"Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin","topic":"Adrenal and Paraganglionic Tumors","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"","keywords":"Neuroendocrine tumors; Paraganglioma; Biomarker; Germline; Disease; Diagnostic biomarker; Genetic testing; Clinical Practice; Germline mutation; Pheochromocytoma","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001853678,0.0005413873,0.001196622,0.0004828477,0.0003305111,0.00003363846,0.0005958004,0.0003375402,0.00002687502],"category_scores_gemma":[0.002864756,0.0003305823,0.0002592332,0.001030374,0.002628931,0.0001162536,0.0005458815,0.001137654,0.00001674532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005712935,"about_ca_system_score_gemma":0.0004387051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001106939,"about_ca_topic_score_gemma":0.0001358514,"domain_scores_codex":[0.996022,0.0006388786,0.001151901,0.0008809777,0.0004071041,0.0008990648],"domain_scores_gemma":[0.9954966,0.002742827,0.0003982353,0.0009969354,0.0001533393,0.0002120714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01194345,0.004173771,0.2693301,0.002866327,0.002958291,0.04341205,0.0104506,0.000607477,0.1455823,0.2003875,0.01080661,0.2974815],"study_design_scores_gemma":[0.008635373,0.002274779,0.8685966,0.0018148,0.0008729875,0.001019724,0.004358283,0.003236757,0.03490113,0.06927805,0.004053036,0.0009584712],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9520584,0.02770916,0.0005400155,0.002531985,0.0002930898,0.0008002776,0.00002582281,0.0001459081,0.01589537],"genre_scores_gemma":[0.9952202,0.001578692,0.001578889,0.0008157181,0.0001378022,0.00007059703,0.00005538125,0.0000321256,0.0005106185],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5992665,"threshold_uncertainty_score":0.9999146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01775989757742608,"score_gpt":0.3570719193593764,"score_spread":0.3393120217819503,"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."}}