{"id":"W4399787571","doi":"10.1093/neuonc/noae064.023","title":"BIOM-03. IMMUNO-ONCOLOGIC PROFILING OF PEDIATRIC BRAIN TUMORS REVEALS MAJOR CLINICAL SIGNIFICANCE OF THE TUMOR IMMUNE MICROENVIRONMENT","year":2024,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta Hospital; Alberta Hospital Edmonton; Hospital for Sick Children","funders":"","keywords":"Profiling (computer programming); Tumor microenvironment; Immune system; Medicine; Cancer research; Biology; Immunology; Computer science","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":[0.0004970097,0.0003205198,0.0003342738,0.0008813802,0.0001985877,0.0006326166,0.0002670232,0.000295339,0.002834532],"category_scores_gemma":[0.0009350454,0.0001854682,0.000206701,0.0009698429,0.0001602674,0.0001689212,0.00047931,0.000350528,0.001434815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004328642,"about_ca_system_score_gemma":0.000546483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001838421,"about_ca_topic_score_gemma":0.003217397,"domain_scores_codex":[0.999647,0.00007079646,0.00002948794,0.00008654523,0.0001014733,0.00006467773],"domain_scores_gemma":[0.9993268,0.0001186746,0.0002540782,0.00005028017,0.0001335237,0.0001165398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002529723,0.000242572,0.7462521,0.0003845352,0.000181206,0.0004273252,0.0002455391,0.002371619,0.1754104,0.0006631042,0.01284683,0.05844513],"study_design_scores_gemma":[0.00007690634,0.0005715172,0.8768336,0.00004051644,0.0001168336,0.001831518,0.0002130515,0.005143007,0.08265492,0.0004988685,0.03199938,0.0000198379],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9449108,0.0009399113,0.00471593,0.0003227284,0.00003349799,0.0001077691,0.04304314,0.0006849422,0.005241402],"genre_scores_gemma":[0.9128749,0.0007684709,0.01863647,0.0002314385,0.00003353206,0.0003643347,0.06311484,0.0002632794,0.00371267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002834532,"threshold_uncertainty_score":0.009482443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02860692755404035,"score_gpt":0.3283082166016221,"score_spread":0.2997012890475817,"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."}}