{"id":"W4414792320","doi":"10.1093/neuonc/noaf193.050","title":"OS05.2.A DECIPHERING THE LONGITUDINAL TRAJECTORIES OF GLIOBLASTOMA ECOSYSTEMS BY INTEGRATIVE SINGLE-CELL GENOMICS","year":2025,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"","keywords":"Glioblastoma; Transcriptome; Genomics; Tumor progression; Tumor microenvironment; Cell; Genome; Disease; 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":[0.0006494227,0.0003126414,0.0005948531,0.0005168171,0.000316195,0.001004875,0.0004303509,0.0003346127,0.001287262],"category_scores_gemma":[0.0003218778,0.0001998194,0.0003837089,0.0005449615,0.000270851,0.0003525981,0.0003634336,0.000571453,0.0005168752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005491318,"about_ca_system_score_gemma":0.000719972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003697479,"about_ca_topic_score_gemma":0.006521517,"domain_scores_codex":[0.9998302,0.00001696229,0.00001383491,0.00005271112,0.00005819972,0.0000281072],"domain_scores_gemma":[0.9998686,0.00003064586,0.00003074464,0.00002269613,0.00002466062,0.00002254131],"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":[0.0006869605,0.0001474777,0.02044905,0.0002965383,0.00006862857,0.0001291599,0.0002475866,0.008828414,0.9164044,0.005841286,0.003529552,0.04337105],"study_design_scores_gemma":[0.0001526087,0.0007734764,0.1020085,0.0000899159,0.000231457,0.0004904335,0.0006557477,0.2844893,0.5494395,0.007120766,0.05438803,0.0001602071],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8692849,0.001147687,0.09170228,0.0003791239,0.0001462946,0.0001611232,0.02828752,0.003484112,0.005406907],"genre_scores_gemma":[0.8785473,0.0008848464,0.09137822,0.0002029735,0.00002872973,0.000295403,0.02454396,0.0007681654,0.003350451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003697479,"threshold_uncertainty_score":0.007351935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01238979078670758,"score_gpt":0.2449869984265625,"score_spread":0.2325972076398549,"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."}}