{"id":"W2073345297","doi":"10.1210/jc.2013-3054","title":"Growth Patterns of Pituitary Adenomas and Histopathological Correlates","year":2014,"lang":"en","type":"article","venue":"The Journal of Clinical Endocrinology & Metabolism","topic":"Pituitary Gland Disorders and Treatments","field":"Medicine","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Hospital for Sick Children; Muscular Dystrophy Canada; University of Toronto","funders":"","keywords":"Pituitary adenoma; Medicine; Acromegaly; Transsphenoidal surgery; Adenoma; Internal medicine; Immunohistochemistry; Cavernous sinus; Endocrinology; Cyst; Magnetic resonance imaging; Anterior pituitary; Gastroenterology; Growth hormone; Pathology; Surgery; Hormone; Radiology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001927559,0.0001755898,0.0001070786,0.0008653397,0.0001844063,0.000266668,0.0001594074,0.0001530978,0.001164022],"category_scores_gemma":[0.001440747,0.00009434955,0.0001155882,0.0005513335,0.0003554534,0.0001999448,0.0002095721,0.0001861028,0.0002095532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003186344,"about_ca_system_score_gemma":0.0003144913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006067794,"about_ca_topic_score_gemma":0.0118666,"domain_scores_codex":[0.999863,0.00002061738,0.00001747112,0.00002063109,0.00005027036,0.00002793767],"domain_scores_gemma":[0.9987496,0.000227065,0.0006252134,0.00004920996,0.0001997698,0.0001491214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000515847,0.000002823274,0.9973004,0.000011057,0.000007910709,0.0002958021,0.00002614811,0.00002984969,0.001045489,0.000006550676,0.00002664609,0.001195774],"study_design_scores_gemma":[0.000001014923,0.00001926027,0.9972969,0.000003697764,0.000006540902,0.0021827,0.0001048078,0.00006469493,0.0002299322,0.000008667685,0.00008010737,0.000001565527],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987507,0.0005200486,0.00008359904,0.00002950832,0.000002842376,0.000003725314,0.0001668635,0.000004836299,0.0004377351],"genre_scores_gemma":[0.9995111,0.0001725685,0.00007608332,0.000005364964,0.000004661202,0.000002373624,0.0001461939,0.000001170424,0.00008044311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006067794,"threshold_uncertainty_score":0.01206493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0315686693133078,"score_gpt":0.3263162038747575,"score_spread":0.2947475345614496,"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."}}