{"id":"W4407676040","doi":"10.1093/neuonc/noaf020","title":"Unveiling spatial heterogeneity in medulloblastoma: A multi-omics analysis of cellular state and geographical organization","year":2025,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; SickKids Foundation; Hospital for Sick Children","funders":"National Key Research and Development Program of China; Natural Science Foundation of Beijing Municipality; National Natural Science Foundation of China","keywords":"Biology; Transcriptome; Spatial organization; Stem cell; Progenitor cell; Computational biology; Progenitor; Evolutionary biology; Chromatin; Medulloblastoma; Cell type; Cellular differentiation; Genetics; Cell; Neuroscience; Gene; Gene expression","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":[0.0004905725,0.0003833396,0.0007597737,0.003790665,0.0004451229,0.001200347,0.0003360597,0.000345687,0.001067705],"category_scores_gemma":[0.0009507005,0.0001872463,0.0007663443,0.003816183,0.0002592492,0.0006392801,0.001076595,0.0004054511,0.000294623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007019279,"about_ca_system_score_gemma":0.0005766999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004145883,"about_ca_topic_score_gemma":0.007484703,"domain_scores_codex":[0.9996734,0.00004242606,0.00003508654,0.0001289189,0.00006823293,0.00005195493],"domain_scores_gemma":[0.9993748,0.0001728892,0.0002238699,0.00009261179,0.00009381014,0.00004209023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005871422,0.00009522977,0.4793211,0.001937596,0.001201157,0.001148615,0.0009736831,0.01161124,0.3455667,0.003236276,0.005473992,0.1488474],"study_design_scores_gemma":[0.00002122532,0.0001104873,0.8952103,0.0002643592,0.0007646779,0.001571577,0.001489224,0.02775844,0.02984506,0.009994761,0.03288864,0.00008117306],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8643599,0.01611147,0.05815146,0.001081669,0.00005671724,0.00009554833,0.05471483,0.0007545046,0.004674026],"genre_scores_gemma":[0.9269788,0.004650273,0.03803353,0.000281183,0.00006076573,0.0001375943,0.02888665,0.0001573354,0.0008137836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004145883,"threshold_uncertainty_score":0.008243501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01181277154223148,"score_gpt":0.2859893608720139,"score_spread":0.2741765893297824,"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."}}