{"id":"W4308976889","doi":"10.1093/neuonc/noac209.057","title":"BIOM-47. PREDICTORS OF SEIZURE AT ONSET USING A FUNCTIONAL VARIANT ANALYSIS OF TARGETED NEXT GENERATION SEQUENCING IN GBM","year":2022,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Univariate analysis; Exome sequencing; Multivariate analysis; Internal medicine; Oncology; Logistic regression; Exome; Univariate; Medicine; Biology; Bioinformatics; Gene; Genetics; Multivariate statistics; Mutation","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":[0.0006800306,0.000284404,0.0003031381,0.0008690332,0.0001726382,0.0004866581,0.0001965903,0.0002563447,0.001225834],"category_scores_gemma":[0.00136839,0.00008932787,0.000540406,0.0007248206,0.0001420716,0.0001896329,0.0003249342,0.0002361171,0.0002064853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002196231,"about_ca_system_score_gemma":0.0003029139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001929512,"about_ca_topic_score_gemma":0.002943035,"domain_scores_codex":[0.9996827,0.00009612843,0.00003922216,0.00009483389,0.00005086419,0.00003631392],"domain_scores_gemma":[0.9994637,0.0001964562,0.000189688,0.00003471546,0.00004604858,0.00006945711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004538492,0.00002786686,0.9837034,0.00002474302,0.0001622852,0.0001963164,0.00002003749,0.001298143,0.004205123,0.00006234035,0.0002231707,0.009622729],"study_design_scores_gemma":[0.00002213347,0.0002028262,0.9798885,0.0000143524,0.0002328164,0.00107822,0.00005699385,0.01510516,0.002390351,0.0003478239,0.0006480973,0.00001267119],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973469,0.0002791872,0.001124973,0.00005431009,0.000005758511,0.000006871815,0.000880262,0.00002869103,0.0002731243],"genre_scores_gemma":[0.9981793,0.00005732323,0.0008136259,0.00002056418,0.000004553176,0.000005766138,0.0008345927,0.000004703205,0.00007956842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001929512,"threshold_uncertainty_score":0.0041008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04077867267202619,"score_gpt":0.2658249981775899,"score_spread":0.2250463255055637,"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."}}