{"id":"W3110733681","doi":"10.1093/neuonc/noaa222.220","title":"ETMR-17. SINGLE-CELL TRANSCRIPTOME ANALYSIS OF ETMR PATIENT SAMPLES","year":2020,"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":"SickKids Foundation; Hospital for Sick Children; McGill University; University of Toronto; Montreal Children's Hospital","funders":"","keywords":"Biology; Phenotype; Transcriptome; Genetic heterogeneity; Cell; Computational biology; Single-cell analysis; Brain tumor; Cell type; Population; Bioinformatics; Cancer research; Neuroscience; Genetics; Gene; Pathology; Gene expression; Medicine","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":[0.0004021607,0.0002848436,0.0003605859,0.0004245047,0.0002724537,0.0004848165,0.0002655521,0.0004502913,0.001473535],"category_scores_gemma":[0.000814395,0.0001357751,0.000530641,0.0005238426,0.0002055448,0.0001365104,0.0003171624,0.0003819562,0.001009537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002457082,"about_ca_system_score_gemma":0.0002649515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001574596,"about_ca_topic_score_gemma":0.002052322,"domain_scores_codex":[0.9997781,0.00003124103,0.00002203471,0.0001005213,0.00003879309,0.00002939555],"domain_scores_gemma":[0.9996517,0.0001313358,0.00005239705,0.0000571993,0.00006953235,0.00003786138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002317647,0.0003537087,0.4147143,0.0007854774,0.0005619162,0.004986213,0.001099696,0.02519565,0.4378861,0.0009736589,0.01687985,0.09424573],"study_design_scores_gemma":[0.0001313444,0.0007007235,0.7607099,0.00009423192,0.0003037701,0.01029162,0.001448725,0.08475249,0.1086762,0.001635527,0.03115399,0.0001014055],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9559425,0.0004535299,0.006174165,0.0001744173,0.00002758733,0.00004535301,0.03608937,0.0003662209,0.0007267756],"genre_scores_gemma":[0.8838253,0.000354547,0.01807679,0.0001880361,0.00002443672,0.0001894562,0.09619243,0.0001483232,0.001000574],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001574596,"threshold_uncertainty_score":0.004929483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03450175288413856,"score_gpt":0.2501740106971722,"score_spread":0.2156722578130336,"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."}}