{"id":"W3200626583","doi":"10.1093/neuonc/noab213","title":"A molecularly integrated grade for meningioma","year":2021,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Meningioma and schwannoma management","field":"Medicine","cited_by":223,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institute of General Medical Sciences; National Cancer Institute; Brain Tumour Charity; Brain Science Foundation","keywords":"Meningioma; Grading (engineering); Medicine; CDKN2A; Cohort; Proportional hazards model; Oncology; Radiosurgery; Radiology; Internal medicine; Radiation therapy; Cancer; Biology","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":[0.001811746,0.0009193487,0.0004403646,0.001560854,0.0003388263,0.001216441,0.0007582389,0.000397433,0.001210945],"category_scores_gemma":[0.004766655,0.0001724061,0.001066267,0.0006873331,0.0002896108,0.0006715971,0.0007991826,0.0007907972,0.0004729861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001251093,"about_ca_system_score_gemma":0.001262025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005660021,"about_ca_topic_score_gemma":0.01272303,"domain_scores_codex":[0.9993912,0.0001245675,0.00006630091,0.0001428689,0.0001929946,0.00008201901],"domain_scores_gemma":[0.9982321,0.0003037847,0.0005641745,0.0002165066,0.0005016097,0.0001819571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007559813,0.0001575114,0.7665923,0.0001962223,0.0005016844,0.0001168625,0.0001373879,0.02079945,0.009886576,0.001766771,0.005586163,0.1935031],"study_design_scores_gemma":[0.0002313944,0.002220338,0.6078407,0.0002681378,0.001460087,0.001538479,0.0002536462,0.3298433,0.02141159,0.01394634,0.02081612,0.0001698253],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8092852,0.002049671,0.1746364,0.00139495,0.0003019206,0.0006391144,0.004902124,0.001328834,0.005461679],"genre_scores_gemma":[0.9233448,0.0002805,0.07329752,0.0001516245,0.00005317848,0.00009967601,0.001756756,0.0000660382,0.0009499561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005660021,"threshold_uncertainty_score":0.01125419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03997511988925675,"score_gpt":0.323123957431469,"score_spread":0.2831488375422123,"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."}}