{"id":"W4399787702","doi":"10.1093/neuonc/noae064.031","title":"BIOM-12. LIQUID BIOPSIES IN CNS TUMORS: A COMBINED APPROACH TO PROFILING CSF","year":2024,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Sarcoma Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"CancerCare Manitoba; Sunnybrook Hospital; Izaak Walton Killam Health Centre; Hospital for Sick Children; McMaster University; London Health Sciences Centre; BC Children's Hospital; University of Toronto; University of Alberta","funders":"","keywords":"Profiling (computer programming); Liquid biopsy; Pathology; Medicine; Cancer research; Computer science; Internal medicine; Cancer","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":[0.00143037,0.0009999932,0.0007324336,0.002849919,0.0003988335,0.001545752,0.0005589853,0.001097891,0.002374151],"category_scores_gemma":[0.0014528,0.000603525,0.0005166848,0.001488527,0.0004328483,0.0005063221,0.0009488143,0.0007827425,0.001547692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000337916,"about_ca_system_score_gemma":0.0004482442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008686598,"about_ca_topic_score_gemma":0.001895713,"domain_scores_codex":[0.9981681,0.0004647347,0.0001315753,0.0004657454,0.0006456166,0.0001241675],"domain_scores_gemma":[0.9992914,0.0002017937,0.0001230215,0.00007738165,0.0002358102,0.00007044637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000808462,0.0001421106,0.03009592,0.0003905364,0.0001400963,0.0003129613,0.0001251242,0.000825779,0.8824236,0.000240946,0.001122461,0.08337197],"study_design_scores_gemma":[0.00005935072,0.0009024966,0.06237677,0.0001076783,0.0002689037,0.003120426,0.0001608211,0.02257022,0.89827,0.0005860338,0.01149338,0.00008397977],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6904241,0.01400974,0.2697319,0.001838514,0.0004755931,0.0009482955,0.008563955,0.004393459,0.009614463],"genre_scores_gemma":[0.6781432,0.003060142,0.3063142,0.0008637345,0.0001792723,0.0006203597,0.004102924,0.0003879834,0.006328157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002849919,"threshold_uncertainty_score":0.007942319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03932548029982993,"score_gpt":0.3195016982892759,"score_spread":0.2801762179894459,"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."}}