{"id":"W4399760403","doi":"10.1093/neuonc/noae064.406","title":"LGG-13. UNRAVELING THE SPATIAL TUMOR MICROENVIRONMENT OF PEDIATRIC LOW-GRADE GLIOMAS USING IMAGING MASS CYTOMETRY","year":2024,"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":"McGill University; McGill University Health Centre","funders":"","keywords":"Mass cytometry; Tumor microenvironment; Cancer research; Flow cytometry; Medicine; Pathology; Chemistry; Tumor cells; Immunology; Phenotype","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":[0.0002836972,0.0002551458,0.0002266648,0.00143978,0.0002409053,0.0005456309,0.0002553066,0.0003266004,0.001191889],"category_scores_gemma":[0.0003160549,0.0001543731,0.0001648361,0.0009191543,0.0001950702,0.0001916885,0.0002541416,0.0002508601,0.0006112118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004857342,"about_ca_system_score_gemma":0.00025849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002905648,"about_ca_topic_score_gemma":0.004218269,"domain_scores_codex":[0.9998387,0.00001783091,0.00001176808,0.00004883114,0.00004675445,0.00003609239],"domain_scores_gemma":[0.9998615,0.00002192078,0.00005086344,0.00001411654,0.00003307894,0.00001838478],"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":[0.0004574284,0.00003143548,0.1202564,0.0003013902,0.00004116651,0.0004002848,0.0002094551,0.0007660125,0.8414243,0.0002967326,0.001281365,0.03453404],"study_design_scores_gemma":[0.00002750254,0.0002099882,0.5048222,0.00006553913,0.0001064612,0.003036438,0.0004806338,0.008126037,0.4564378,0.0006862546,0.02597549,0.00002555773],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9789037,0.003296463,0.009796081,0.0001715195,0.00001201878,0.00007070634,0.005155345,0.0005249223,0.002069171],"genre_scores_gemma":[0.9732469,0.001219339,0.01521397,0.0001302229,0.00001198958,0.0001003942,0.00854958,0.000104945,0.001422581],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002905648,"threshold_uncertainty_score":0.005777478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01891598934102809,"score_gpt":0.2930660125543793,"score_spread":0.2741500232133511,"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."}}