{"id":"W4309017650","doi":"10.1093/neuonc/noac209.069","title":"BIOM-59. NOVEL BIOMARKER DISCOVERY AND DIAGNOSTICS FOR INTRA-AXIAL BRAIN TUMORS, USING CSF PROTEOMICS","year":2022,"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; University Health Network; University of Toronto","funders":"","keywords":"Proteomics; Cerebrospinal fluid; Brain tumor; Biomarker; Biomarker discovery; Medicine; Malignancy; Brain biopsy; Liquid biopsy; Pathology; Receiver operating characteristic; Oncology; Cancer; Biopsy; Biology; Internal medicine; Gene","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":[0.0007914813,0.0006704025,0.0004999652,0.001723113,0.0003726132,0.001150275,0.0003655505,0.0007759787,0.001673058],"category_scores_gemma":[0.0008484425,0.0002625235,0.0004165866,0.0007712124,0.0003739913,0.0004797509,0.0006055243,0.0004471016,0.00165339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006032889,"about_ca_system_score_gemma":0.0006544817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001282873,"about_ca_topic_score_gemma":0.001566654,"domain_scores_codex":[0.9996178,0.00004906296,0.00004482631,0.0001084255,0.0001346162,0.00004525956],"domain_scores_gemma":[0.9996637,0.00006051989,0.0001079775,0.0000204009,0.00009870876,0.00004871464],"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":[0.0006244113,0.0001557113,0.04439622,0.0006997845,0.000134965,0.0004662504,0.00008383286,0.001110094,0.8463669,0.0006929133,0.003273431,0.1019954],"study_design_scores_gemma":[0.00008650276,0.0007372191,0.1487673,0.0001932133,0.0002552484,0.00394835,0.0001524194,0.02028311,0.7904755,0.00200193,0.03303752,0.00006162278],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8977531,0.02958429,0.04958668,0.002512748,0.0003631956,0.000369667,0.01042737,0.001789802,0.007613109],"genre_scores_gemma":[0.9055443,0.006981163,0.0697479,0.0007028921,0.0001659241,0.0003268989,0.009664744,0.00009186901,0.0067743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001723113,"threshold_uncertainty_score":0.005596876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04053738557224999,"score_gpt":0.3157343512396935,"score_spread":0.2751969656674435,"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."}}