{"id":"W4388588565","doi":"10.1093/neuonc/noad179.0473","title":"EPCO-09. CHARACTERIZING THE GBM CELLULAR LANDSCAPE BY LARGE-SCALE SINGLE-NUCLEUS RNA-SEQUENCING","year":2023,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital","funders":"","keywords":"Biology; Computational biology; Exome sequencing; RNA; Deep sequencing; Exome; Cell type; Tumor microenvironment; Genome; Cell; Gene; Genetics; Phenotype; Cancer","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":[],"consensus_categories":[],"category_scores_codex":[0.0003892748,0.0002686727,0.0003031458,0.00006417864,0.0003025265,0.00005878765,0.0004576156,0.0003661519,0.00005880649],"category_scores_gemma":[0.0001055096,0.0002248538,0.0001708829,0.0002450746,0.0001231187,0.00000909042,0.0001908668,0.0003524097,0.0001308861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000614083,"about_ca_system_score_gemma":0.0001379523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002260294,"about_ca_topic_score_gemma":0.00005275038,"domain_scores_codex":[0.9979712,0.0002329307,0.0003592214,0.0005783769,0.0001785158,0.0006797099],"domain_scores_gemma":[0.9990528,0.0001042959,0.0001461057,0.0004931501,0.00006556196,0.0001380546],"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":[0.00008150601,0.0001026463,0.0009780757,0.00001617745,0.0000301175,0.0000565218,0.0004319337,0.00002210366,0.9807969,0.00001437951,0.01283457,0.004635034],"study_design_scores_gemma":[0.0005593442,0.0004155098,0.0001039758,0.000005299613,0.00002342152,0.00002670262,0.0002412706,0.000481727,0.5162469,0.00001355022,0.4817114,0.0001709488],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911218,0.0003768749,0.0007199421,0.001994256,0.001357047,0.0002586352,0.0000926508,0.0001165951,0.003962249],"genre_scores_gemma":[0.9936317,0.000430119,0.0001679985,0.00392227,0.0008042321,0.00004072777,0.0004122025,0.00008392694,0.0005068214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4688768,"threshold_uncertainty_score":0.9169273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02119131351393815,"score_gpt":0.2408419296338828,"score_spread":0.2196506161199447,"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."}}