{"id":"W4379279831","doi":"10.1017/cjn.2023.102","title":"F.3 Comprehensive multiplatform analysis of CDKN2A alterations in meningiomas","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":"CDKN2A; DNA methylation; Cancer research; Biology; Methylation; Biomarker; Gene; Gene expression; Oncology; Genetics; Medicine","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":[0.0003746065,0.0003902001,0.0002003824,0.001688467,0.0002930413,0.0004986882,0.0001902115,0.0001966934,0.002345823],"category_scores_gemma":[0.0004699373,0.0001329736,0.0004246686,0.0007147292,0.000151605,0.0001762136,0.0004173243,0.0001799533,0.0005586855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004688431,"about_ca_system_score_gemma":0.0003249342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005218002,"about_ca_topic_score_gemma":0.005806563,"domain_scores_codex":[0.9998626,0.000009008583,0.00001193877,0.00005034254,0.00004236382,0.00002383676],"domain_scores_gemma":[0.9998006,0.00002495811,0.00005656808,0.00003418456,0.00003896077,0.00004470113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0012707,0.00007170621,0.5007415,0.0001603964,0.0003829835,0.0009047341,0.0001458447,0.002296658,0.4280483,0.0003521414,0.001724142,0.06390104],"study_design_scores_gemma":[0.0000200686,0.0001439053,0.9017693,0.00001043437,0.00013703,0.002123343,0.00008136897,0.004116626,0.08721988,0.0002832169,0.004078868,0.00001595033],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893233,0.000410711,0.003056227,0.00003916274,0.00000666005,0.00003332656,0.00515684,0.0003104284,0.001663401],"genre_scores_gemma":[0.9864748,0.0001588647,0.006277909,0.00001752142,0.000007050362,0.00004131397,0.005925462,0.00003904875,0.001058014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005218002,"threshold_uncertainty_score":0.01037526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07502428691477128,"score_gpt":0.3141364397166486,"score_spread":0.2391121528018773,"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."}}