{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00009698075,0.000271439,0.000622277,0.0001384548,0.00006390209,0.00001546433,0.0003398322,0.0003449289,0.0001450308],"category_scores_gemma":[0.0001074169,0.0002713051,0.00045293,0.0005343457,0.0001713703,0.000005570412,0.00007213101,0.0002226879,0.00000877671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003426721,"about_ca_system_score_gemma":0.0001387053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005031709,"about_ca_topic_score_gemma":0.0001065535,"domain_scores_codex":[0.9980062,0.000210804,0.0005727856,0.0006321649,0.0002036768,0.0003743586],"domain_scores_gemma":[0.9989802,0.00009062102,0.0002176908,0.0003511569,0.0001289428,0.0002313657],"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":[0.0005107835,0.0004987443,0.002560723,0.00003412734,0.0003219309,0.00002066399,0.0008017131,0.0007196335,0.9870629,0.00003022943,0.002098812,0.005339777],"study_design_scores_gemma":[0.0009588713,0.003605365,0.0003848775,0.000002878817,0.0005958921,0.00000560479,0.0001713265,0.0005176209,0.7102385,0.000007148803,0.2832628,0.000249202],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894944,0.0005359371,0.003997091,0.001082091,0.0003565383,0.000247973,0.0001623532,0.00003648893,0.00408708],"genre_scores_gemma":[0.9928575,0.0001781008,0.000953032,0.005502235,0.0001725091,0.00001534163,0.0002506032,0.00004071783,0.00002994012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.281164,"threshold_uncertainty_score":0.9999739,"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."}}