{"id":"W3200402883","doi":"10.1093/neuonc/noab227","title":"Impact of the methylation classifier and ancillary methods on CNS tumor diagnostics","year":2021,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":107,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Cancer Institute; National Institutes of Health; Center for Cancer Research","keywords":"Classifier (UML); Confidence interval; Medicine; Methylation; Oncology; DNA methylation; Brain tumor; Artificial intelligence; Internal medicine; Pathology; Computer science; 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":[0.02715517,0.0009336394,0.001020392,0.002884176,0.0008465536,0.002191103,0.001141049,0.001151021,0.001470301],"category_scores_gemma":[0.05734264,0.0003698413,0.000643009,0.001601293,0.0005701668,0.0009622084,0.001893124,0.00106403,0.0006156702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001298236,"about_ca_system_score_gemma":0.00203561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004883401,"about_ca_topic_score_gemma":0.01179353,"domain_scores_codex":[0.9782405,0.01087215,0.001811559,0.00294628,0.005283044,0.0008465532],"domain_scores_gemma":[0.9485373,0.03426055,0.00568463,0.002789577,0.006947507,0.001780447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001881336,0.0002794045,0.8128089,0.0002683966,0.0004217868,0.0003540461,0.000675901,0.002583824,0.01202186,0.0002321371,0.0009735002,0.1674989],"study_design_scores_gemma":[0.00009847278,0.002696222,0.8644336,0.0003612319,0.0007712065,0.003217153,0.0008876346,0.0801404,0.04141299,0.001049626,0.004788208,0.0001432044],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9599853,0.003130498,0.03001821,0.0009243853,0.0001056586,0.0003963324,0.0008782714,0.0004947896,0.004066457],"genre_scores_gemma":[0.9513077,0.0003720412,0.04669779,0.0001955056,0.0000677792,0.0001380832,0.0006249477,0.00006272354,0.0005334551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02715517,"threshold_uncertainty_score":0.143612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04601508791301511,"score_gpt":0.3890986404856309,"score_spread":0.3430835525726158,"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."}}