{"id":"W2308410138","doi":"10.1093/neuonc/nov214.13","title":"EPIG-13ROBUST MGMT METHYLATION DETECTION USING 450k ARRAY IN CIMP-NEGATIVE GBM","year":2015,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Methylation; Concordance; DNA methylation; Methyltransferase; Biomarker; Computational biology; Oncology; Confounding; Biology; Bioinformatics; Medicine; Internal medicine; Gene; Genetics; Gene expression","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":[0.0005742317,0.0003274038,0.0003886083,0.0004881553,0.0001834776,0.0003799617,0.000258581,0.000354534,0.0008234947],"category_scores_gemma":[0.0009102659,0.0002712027,0.0003338725,0.0003240337,0.0001978068,0.000170577,0.0002603214,0.0002741594,0.0003326566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002828249,"about_ca_system_score_gemma":0.0002107186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003584178,"about_ca_topic_score_gemma":0.007049455,"domain_scores_codex":[0.9996102,0.00009156435,0.00002066699,0.0001355848,0.00008645114,0.00005565854],"domain_scores_gemma":[0.9998149,0.00005408967,0.00002660857,0.00003880862,0.00004844545,0.00001722413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002189692,0.0001712732,0.2761272,0.0002465134,0.0003125683,0.000423317,0.0003427233,0.0146066,0.6162984,0.0003509658,0.001816168,0.08711457],"study_design_scores_gemma":[0.00003930731,0.0005392664,0.6133019,0.00002124687,0.0002996976,0.001190681,0.0001716225,0.1047641,0.2752928,0.0008217822,0.003496812,0.0000609392],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9845721,0.0004182422,0.01241985,0.00007097532,0.00001111708,0.00002162269,0.001459211,0.0003610364,0.0006659335],"genre_scores_gemma":[0.9861123,0.0001476378,0.01060467,0.00006005523,0.000005769579,0.00003640374,0.002347046,0.00004388191,0.0006421464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003584178,"threshold_uncertainty_score":0.007126629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07507715708103423,"score_gpt":0.3457348808064647,"score_spread":0.2706577237254305,"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."}}