{"id":"W4384108628","doi":"10.1093/noajnl/vdad071.002","title":"MULTIPLATFORM MOLECULAR ANALYSIS OF VESTIBULAR SCHWANNOMA REVEALS TWO ROBUST SUBGROUPS WITH DISTINCT MICROENVIRONMENT","year":2023,"lang":"en","type":"article","venue":"Neuro-Oncology Advances","topic":"Meningioma and schwannoma management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computational biology; Biology; Drug repositioning; Schwannoma; Consensus clustering; Bioinformatics; Cluster analysis; Cancer research; Medicine; Computer science; Drug; Pathology; Artificial intelligence; Pharmacology","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":[0.0002763399,0.000272724,0.0002690456,0.00105949,0.0002873484,0.0005985618,0.0002208357,0.0002077699,0.001134462],"category_scores_gemma":[0.0005641935,0.0001043721,0.0005068753,0.0005769251,0.0002190606,0.0001677812,0.0004641905,0.0002791646,0.0002428498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004222331,"about_ca_system_score_gemma":0.0003867379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002855544,"about_ca_topic_score_gemma":0.004705214,"domain_scores_codex":[0.9998593,0.00001782573,0.00001158501,0.00004679921,0.00003973177,0.00002475778],"domain_scores_gemma":[0.9998023,0.00005980839,0.00005556549,0.00002310675,0.00002927992,0.00002998276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002013099,0.0001926183,0.4467871,0.0001894289,0.000491285,0.0006391318,0.0004386802,0.02842057,0.4727705,0.001583184,0.00104584,0.04542871],"study_design_scores_gemma":[0.00007591878,0.0005018095,0.7870071,0.00002452965,0.0003150792,0.001289718,0.0007197813,0.1383573,0.06487661,0.004204831,0.002572711,0.00005461913],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959,0.00007993447,0.0030817,0.00004371392,0.000001548058,0.00001741575,0.0005598786,0.00006153081,0.0002542605],"genre_scores_gemma":[0.9941844,0.00004429046,0.003794799,0.00002055109,0.000001828492,0.00002068874,0.001643052,0.00001505894,0.0002753347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002855544,"threshold_uncertainty_score":0.005677819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01949899788783256,"score_gpt":0.286669645388796,"score_spread":0.2671706475009635,"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."}}