{"id":"W4366084584","doi":"10.3389/fnmol.2023.1126438","title":"Transcriptional networks of transient cell states during human prefrontal cortex development","year":2023,"lang":"en","type":"article","venue":"Frontiers in Molecular Neuroscience","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Novo Nordisk; Syddansk Universitet; Queen's University; Deutsche Forschungsgemeinschaft; Queen's University Belfast","keywords":"Neuroscience; Biology; Cell fate determination; Embryonic stem cell; Human brain; Cell type; Prefrontal cortex; Gene regulatory network; Oligodendrocyte; In silico; Transcriptome; Fate mapping; Gene expression; Gene; Cell; Transcription factor; Cognition; Central nervous system; Genetics; Myelin","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001508389,0.000172645,0.0001722484,0.0001385549,0.0001160143,0.00001962619,0.0003362287,0.0000922609,0.000002571136],"category_scores_gemma":[0.000007314046,0.0001881454,0.00007354967,0.0003298217,0.0001921058,0.000008162628,0.00004407415,0.0001232443,7.770432e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002282274,"about_ca_system_score_gemma":0.0000672585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001101004,"about_ca_topic_score_gemma":0.00001389839,"domain_scores_codex":[0.9984785,0.00005327347,0.0003253908,0.0004836068,0.0002678876,0.0003913753],"domain_scores_gemma":[0.9996161,0.000002418499,0.00006219382,0.0002069236,0.00002672452,0.00008566496],"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":[0.00004909254,0.0001021294,0.005983481,0.00003500007,0.000004475617,0.00002925398,0.000154582,0.01684012,0.9765159,0.000007665295,0.0001059027,0.0001724037],"study_design_scores_gemma":[0.0009186622,0.0001839953,0.2273062,0.00002231317,0.000008467766,0.000005312401,0.00009721796,0.006027118,0.7624254,0.00002189396,0.002687592,0.0002958797],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9283443,0.0002747514,0.07042505,0.00001489071,0.0006205837,0.0001867161,0.00001520056,0.00002101344,0.00009751326],"genre_scores_gemma":[0.9975372,0.0001364215,0.001828625,0.00009882107,0.00002011098,0.00001805214,0.0001248307,0.00002512179,0.0002108333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2213227,"threshold_uncertainty_score":0.7672347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008357402408207143,"score_gpt":0.2123877668380891,"score_spread":0.204030364429882,"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."}}