{"id":"W4321996971","doi":"10.1007/s11060-023-04253-2","title":"The multiomic landscape of meningiomas: a review and update","year":2023,"lang":"en","type":"review","venue":"Journal of Neuro-Oncology","topic":"Meningioma and schwannoma management","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Structural Genomics Consortium; Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"Brain Tumour Charity","keywords":"Grading (engineering); Meningioma; Pace; Brain tumor; SMARCB1; Classification scheme; Epigenomics; Precision medicine; Bioinformatics; Biology; Medicine; Pathology; Neuroscience; Computer science; Epigenetics; Data science; DNA methylation; Geography; Ecology; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006466607,0.0006764096,0.001113498,0.003801343,0.0003035086,0.001310155,0.0006689117,0.0007806479,0.001830637],"category_scores_gemma":[0.001411839,0.0002265845,0.0007584137,0.003344091,0.0004959726,0.001530201,0.0006687925,0.0009887669,0.0005214026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006091203,"about_ca_system_score_gemma":0.001426893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001379633,"about_ca_topic_score_gemma":0.002108352,"domain_scores_codex":[0.9997845,0.00003514792,0.00005591843,0.00005005502,0.00005016302,0.00002424241],"domain_scores_gemma":[0.9990066,0.0004822748,0.0002030945,0.00002766305,0.0002140945,0.00006633755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000198753,0.00004928728,0.004225929,0.02601247,0.0004134875,0.0009526425,0.0002379345,0.0003932153,0.002486596,0.002068699,0.0425675,0.9203935],"study_design_scores_gemma":[0.00001615304,0.0001792223,0.01451335,0.01277961,0.001376635,0.009225754,0.000392165,0.0002686736,0.001269156,0.002737426,0.9571706,0.00007125701],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006429154,0.9976705,0.0001993458,0.0007473527,0.0002487461,0.000003411855,0.00008737017,0.00001357777,0.0003867086],"genre_scores_gemma":[0.003672627,0.9945824,0.0003999914,0.0004427778,0.0005029422,0.00000670202,0.0001684603,0.000003970929,0.000220097],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003801343,"threshold_uncertainty_score":0.006124079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08222006545721092,"score_gpt":0.3988783755803271,"score_spread":0.3166583101231162,"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."}}