{"id":"W3110825381","doi":"10.1093/neuonc/noaa222.842","title":"TBIO-15. MODELING DEVELOPMENTAL GENE EXPRESSION DYNAMICS AT CELLULAR RESOLUTION TO INTERPRET PEDIATRIC BRAIN TUMOR TRANSCRIPTIONAL PROGRAMS","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":"McGill University Health Centre; Hospital for Sick Children; McGill University; Jewish General Hospital","funders":"","keywords":"Carcinogenesis; Biology; Gene; Transcriptome; Gene expression; Forebrain; Transcription factor; Gene regulatory network; Computational biology; Developmental biology; PAX6; Neuroscience; Genetics; Central nervous system","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":[0.0001418902,0.0002675069,0.0002602198,0.00006238223,0.0001678888,0.00002562053,0.0003050831,0.0002650102,0.00003350163],"category_scores_gemma":[0.0001200676,0.0002800191,0.0001417986,0.0001616586,0.00004956546,0.000009830932,0.0001859699,0.0002365686,0.00003815893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002064076,"about_ca_system_score_gemma":0.0002204345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001313386,"about_ca_topic_score_gemma":0.00008091944,"domain_scores_codex":[0.998073,0.0001618809,0.0004282946,0.0007090929,0.0002036456,0.0004240979],"domain_scores_gemma":[0.9993587,0.00002721646,0.00006478915,0.0001653428,0.00007858721,0.0003053464],"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":[0.0007548092,0.0001535905,0.00179034,0.00002861923,0.00001365583,0.00003934679,0.0004804104,0.001765015,0.9915481,0.00001320937,0.00128546,0.00212749],"study_design_scores_gemma":[0.002094023,0.002873235,0.00007834232,0.00001591281,0.00005755802,0.0001268109,0.0002291296,0.07407409,0.8643827,0.00002754978,0.05538418,0.0006564003],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9195845,0.000258504,0.0770094,0.001804976,0.0004863028,0.0004519208,0.00005172994,0.00005710293,0.0002956222],"genre_scores_gemma":[0.9835811,0.00006092721,0.01029564,0.004594497,0.0006326622,0.0000642832,0.000682039,0.00005537185,0.00003353353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1271653,"threshold_uncertainty_score":0.9999652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02414728527735468,"score_gpt":0.2403365846500522,"score_spread":0.2161892993726975,"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."}}