{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002821387,0.0005049124,0.0004253162,0.000520153,0.0002153309,0.0005712841,0.0006305213,0.0005689456,0.003343395],"category_scores_gemma":[0.0004120006,0.0002703807,0.000729053,0.0005341692,0.0002954271,0.0001675255,0.0002952348,0.00045204,0.0005983784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006837206,"about_ca_system_score_gemma":0.0007793568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01150519,"about_ca_topic_score_gemma":0.01923195,"domain_scores_codex":[0.999934,0.000009246689,0.000002785674,0.00002425255,0.00001711664,0.00001258792],"domain_scores_gemma":[0.9998703,0.00005724368,0.00002144909,0.00001505392,0.00001750994,0.00001846447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003673392,0.0001500874,0.02310299,0.0004861416,0.0001657032,0.0001877524,0.000198261,0.8476768,0.08614891,0.006450623,0.007796409,0.02726893],"study_design_scores_gemma":[0.00001473494,0.00004746427,0.006204528,0.00001186516,0.00001676193,0.00005238756,0.00004063126,0.9768823,0.009385674,0.002294204,0.005034535,0.00001477729],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6028845,0.001327559,0.3175361,0.0005399195,0.000152966,0.0001401121,0.05378541,0.01421073,0.009422738],"genre_scores_gemma":[0.7950823,0.001317457,0.1617143,0.0002076394,0.00005815425,0.0004065142,0.03544573,0.001014279,0.004753651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01150519,"threshold_uncertainty_score":0.02287644,"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."}}