{"id":"W4391990390","doi":"10.1055/s-0044-1780285","title":"Clinical Landscape of Pituitary Adenoma","year":2024,"lang":"en","type":"article","venue":"Journal of Neurological Surgery Part B Skull Base","topic":"Pituitary Gland Disorders and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Pituitary adenoma; Computer science; Adenoma; Medicine; 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":[],"consensus_categories":[],"category_scores_codex":[0.0008316338,0.0001647386,0.0008006164,0.0001959051,0.00002925831,0.00001414086,0.00008226391,0.0001412898,0.0008311041],"category_scores_gemma":[0.000516473,0.00009623394,0.0008263165,0.0002209324,0.00009676038,0.0001147843,0.00003594947,0.0004652382,0.00004740419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006620622,"about_ca_system_score_gemma":0.0001640702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002107566,"about_ca_topic_score_gemma":5.87107e-7,"domain_scores_codex":[0.9979209,0.0001904397,0.001071311,0.0002229607,0.000352633,0.0002417841],"domain_scores_gemma":[0.9976982,0.00147229,0.0002183983,0.0001833149,0.00009680114,0.0003309379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001528545,0.001240177,0.9090291,0.00008737596,0.0002660917,0.01869445,0.000008848777,0.000008910934,0.00005481252,0.00003470316,0.05435923,0.01468777],"study_design_scores_gemma":[0.00183723,0.00543206,0.8909553,0.0002978612,0.0006166017,0.00353755,0.00001642026,0.0004313213,0.00008042,0.0006855158,0.09592605,0.0001836853],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868493,0.007624364,0.00002376471,0.00331375,0.001189256,0.00008948676,0.00001869815,0.00002858284,0.0008627979],"genre_scores_gemma":[0.9959865,0.001873032,0.0001154194,0.00127287,0.0006035034,0.000001883207,0.00001212216,0.00001442892,0.0001201924],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04156682,"threshold_uncertainty_score":0.9100007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05801438164933008,"score_gpt":0.3177965322201599,"score_spread":0.2597821505708298,"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."}}