{"id":"W4379348399","doi":"10.1017/cjn.2023.101","title":"F.2 Multiplatform molecular analysis of vestibular schwannoma reveals two robust subgroups with distinct microenvironment","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques","topic":"Meningioma and schwannoma management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Public Health; Systems, Applications & Products in Data Processing (Canada)","funders":"","keywords":"Drug repositioning; Computational biology; Biology; Bioinformatics; Cancer research; Medicine; Oncology; Drug; Pharmacology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0002846135,0.0003294462,0.0002307145,0.001284153,0.0003318916,0.0006248808,0.0002426318,0.0002784161,0.002052591],"category_scores_gemma":[0.0007406436,0.000103182,0.000516971,0.00066218,0.0002311081,0.0002263152,0.0004149537,0.0002261659,0.000383716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004844578,"about_ca_system_score_gemma":0.0005166412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003714406,"about_ca_topic_score_gemma":0.005241185,"domain_scores_codex":[0.9998611,0.00001319984,0.000010932,0.00004992637,0.00003678725,0.0000279837],"domain_scores_gemma":[0.9997547,0.0000664839,0.00008276629,0.00002562655,0.00003645426,0.00003401895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001847042,0.0001969643,0.6051001,0.0002389404,0.0004584228,0.0008946274,0.0003561006,0.03880157,0.2630109,0.002049386,0.00202375,0.08502212],"study_design_scores_gemma":[0.00008947648,0.0005459667,0.7928577,0.00003056674,0.000403781,0.002596175,0.0005681559,0.1250885,0.06737108,0.005853022,0.004538164,0.00005738407],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992592,0.000118681,0.004814508,0.0000713789,0.00000305076,0.00003192908,0.001489505,0.000137617,0.0007413221],"genre_scores_gemma":[0.9901689,0.0000645959,0.006336624,0.00002683406,0.000003486314,0.00003887602,0.002819592,0.00002176098,0.0005193787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003714406,"threshold_uncertainty_score":0.007385612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0347042075406972,"score_gpt":0.2634695029670892,"score_spread":0.228765295426392,"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."}}