{"id":"W2592270240","doi":"10.1530/erc-17-0004","title":"From pituitary adenoma to pituitary neuroendocrine tumor (PitNET): an International Pituitary Pathology Club proposal","year":2017,"lang":"en","type":"article","venue":"Endocrine Related Cancer","topic":"Pituitary Gland Disorders and Treatments","field":"Medicine","cited_by":352,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"Ipsen; Università degli Studi di Torino; Kanazawa Medical University; Università degli Studi dell'Aquila; Université de Lyon; Hospices Civils de Lyon","keywords":"Pituitary tumors; Pituitary adenoma; Neuroendocrine tumors; Adenoma; Pathology; Anterior pituitary; Medicine; Hormone; Internal medicine","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008454168,0.0006292799,0.000807708,0.0003055901,0.0005125378,0.0001012442,0.000863274,0.00007540205,0.002780382],"category_scores_gemma":[0.0001695337,0.000545292,0.0002600545,0.000146009,0.0002158105,0.0008280036,0.0004660739,0.0006897683,0.0004487858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002561798,"about_ca_system_score_gemma":0.0003507182,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008006147,"about_ca_topic_score_gemma":0.0006642944,"domain_scores_codex":[0.9963593,0.0001052895,0.0007089734,0.0012617,0.0006000626,0.0009647093],"domain_scores_gemma":[0.9970484,0.00005031002,0.0002852805,0.00167854,0.0001768309,0.0007606114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005122912,0.00402462,0.7485182,0.0001254853,0.003023931,0.1151284,0.00103658,0.0003537201,0.007449504,0.001310909,0.04575779,0.06814799],"study_design_scores_gemma":[0.02029047,0.003211262,0.8766697,0.0003975822,0.001065799,0.004985138,0.0002944392,0.0009668267,0.004030076,0.005047639,0.08171411,0.001326931],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9569418,0.002431208,0.00002358658,0.02692451,0.003155768,0.001151179,0.0005734595,0.000312081,0.008486332],"genre_scores_gemma":[0.9887567,0.0009968249,0.001163145,0.003641234,0.001307227,0.000310588,0.001004247,0.0001309946,0.002689095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1281515,"threshold_uncertainty_score":0.9996998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01455346230190612,"score_gpt":0.3212345771739681,"score_spread":0.306681114872062,"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."}}