{"id":"W3111760764","doi":"10.1093/neuonc/noaa215.059","title":"BIOM-62 SENSITIVE DETECTION AND DISCRIMINATION OF INTRACRANIAL TUMORS BY BLOOD","year":2020,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network","funders":"","keywords":"Biomarker; DNA methylation; Methylation; Glioma; Brain tumor; Medicine; Oncology; Internal medicine; Differential diagnosis; Cancer; Pathology; Cancer research; Biology; DNA; Gene; 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":[0.0008418883,0.0008670334,0.0006273621,0.0008582085,0.0001704026,0.0008237491,0.0004294896,0.000649515,0.001816174],"category_scores_gemma":[0.00192034,0.0003176793,0.000873672,0.0003756547,0.0002300601,0.0003158808,0.0004222777,0.0006614078,0.001291618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005397119,"about_ca_system_score_gemma":0.0005247106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003811114,"about_ca_topic_score_gemma":0.002869508,"domain_scores_codex":[0.9996387,0.00007427223,0.00002342618,0.0001573993,0.00006894819,0.00003714977],"domain_scores_gemma":[0.9993369,0.0003382027,0.0001021678,0.00005921184,0.000126055,0.00003740586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002728379,0.0005573433,0.2624785,0.0004270109,0.0006759687,0.0003571067,0.0001187996,0.2305645,0.2464862,0.001497885,0.006340409,0.247768],"study_design_scores_gemma":[0.00003665634,0.0002893461,0.0358148,0.00002157715,0.00008793129,0.0002239559,0.00002344891,0.9153076,0.04436889,0.001781704,0.002010261,0.00003370299],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8376775,0.001656632,0.1470059,0.0004144676,0.000142661,0.0001274829,0.005284535,0.003106289,0.004584539],"genre_scores_gemma":[0.9675175,0.0002554766,0.02502956,0.0001265312,0.00003078233,0.0001001084,0.004206052,0.00007222905,0.002661782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003811114,"threshold_uncertainty_score":0.007577896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01007167805950877,"score_gpt":0.2656741941715288,"score_spread":0.2556025161120201,"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."}}