{"id":"W4407249611","doi":"10.1055/s-0045-1803254","title":"Metabolic Profiling of Meningioma Reveals Novel Subgroup-Specific Biologic Insights and Outcome Dependencies","year":2025,"lang":"en","type":"article","venue":"Journal of Neurological Surgery Part B Skull Base","topic":"Meningioma and schwannoma management","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Profiling (computer programming); Computational biology; Meningioma; Bioinformatics; Medicine; Biology; Computer science; Pathology","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":[0.001659612,0.0002616382,0.001281366,0.0006258315,0.00009746648,0.00003248941,0.0001622173,0.0001589166,0.00007028743],"category_scores_gemma":[0.001134044,0.0001648735,0.000420585,0.0005406251,0.000170045,0.0001384242,0.0001474664,0.0004228863,0.000003311088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000152015,"about_ca_system_score_gemma":0.00005678204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001676598,"about_ca_topic_score_gemma":2.480811e-7,"domain_scores_codex":[0.9970752,0.0002592841,0.001555859,0.000337141,0.0004265192,0.0003460026],"domain_scores_gemma":[0.9973288,0.001184511,0.0007321919,0.0002824662,0.0002503781,0.0002216492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001700834,0.0006684728,0.817516,0.0002243626,0.00029453,0.005428694,0.00004160562,0.00002980081,0.1645084,0.006251574,0.001765809,0.001569917],"study_design_scores_gemma":[0.002586727,0.001918739,0.9323478,0.0003254542,0.000680952,0.003353704,0.0001144539,0.0002755596,0.02339533,0.001532257,0.03302932,0.0004396689],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915575,0.005229885,0.0004187523,0.001421173,0.0005831203,0.0002694959,0.000005089946,0.00002719766,0.0004877643],"genre_scores_gemma":[0.9969366,0.0003314161,0.001788803,0.0006206325,0.0001460939,0.000008238749,0.00000441377,0.000009884569,0.000153905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1411131,"threshold_uncertainty_score":0.6723348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08049801435572501,"score_gpt":0.290768245331626,"score_spread":0.210270230975901,"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."}}