{"id":"W2583082560","doi":"10.1530/erc-16-0496","title":"Pituitary acromegaly: not one disease","year":2017,"lang":"en","type":"letter","venue":"Endocrine Related Cancer","topic":"Pituitary Gland Disorders and Treatments","field":"Medicine","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"","keywords":"Acromegaly; Risk stratification; Pituitary tumors; Epigenetics; Pituitary adenoma; Disease; Medicine; Bioinformatics; Broad spectrum; Adenoma; Pathology; Neuroscience; Biology; Internal medicine; Genetics; Growth hormone; Gene","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":[0.00004211733,0.0006299051,0.0009794732,0.0002181364,0.0002671147,0.00005240463,0.0003129749,0.0004246657,0.003277525],"category_scores_gemma":[0.00007161855,0.0005265079,0.0004801401,0.0001042587,0.0001515959,0.0001568303,0.0001285822,0.00208915,0.0006692142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002978316,"about_ca_system_score_gemma":0.0005491996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001444192,"about_ca_topic_score_gemma":0.0000290893,"domain_scores_codex":[0.9971752,0.00004450728,0.0004432499,0.0008506472,0.0006381998,0.0008482509],"domain_scores_gemma":[0.9977741,0.00004576625,0.0002870474,0.001415185,0.0001036823,0.0003742299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003228065,0.0002295044,0.007348529,0.0004396757,0.001992549,0.02715935,0.00002418975,0.000003667281,0.00001187381,0.00001312791,0.9575053,0.004949424],"study_design_scores_gemma":[0.005545897,0.0001657315,0.0188924,0.0009334996,0.002636956,0.0001739714,0.000002281394,0.00002102942,0.00004524356,0.0005134911,0.9704977,0.0005717978],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.009397403,0.02766094,0.000002017348,0.934765,0.001634291,0.001064173,0.0009728404,0.0002915142,0.02421182],"genre_scores_gemma":[0.1073191,0.01455812,0.00009716775,0.5592387,0.006983115,0.0007112398,0.007706418,0.0003826645,0.3030035],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.3755263,"threshold_uncertainty_score":0.9997187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02703821333650549,"score_gpt":0.3045985027313428,"score_spread":0.2775602893948373,"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."}}