{"id":"W2995058171","doi":"10.1007/s00018-019-03408-7","title":"Vsx1 and Chx10 paralogs sequentially secure V2 interneuron identity during spinal cord development","year":2019,"lang":"en","type":"article","venue":"Cellular and Molecular Life Sciences","topic":"Developmental Biology and Gene Regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"Fédération Wallonie-Bruxelles; National Institute of Neurological Disorders and Stroke; Fonds De La Recherche Scientifique - FNRS; Association Belge contre les Maladies Neuro-Musculaires; Université Catholique de Louvain","keywords":"Interneuron; Biology; Embryonic stem cell; Spinal cord; Motor neuron; Cell fate determination; Progenitor cell; Neuroscience; Progenitor; Neuron; Gene; Genetics; Stem cell; Transcription factor; Inhibitory postsynaptic potential","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":[0.0002714024,0.0001621227,0.0001320468,0.00005909507,0.0001953649,0.00005738434,0.0001734257,0.0001179836,0.00001694115],"category_scores_gemma":[0.00002141149,0.0001482909,0.00003818454,0.00009293525,0.0002634009,0.00002230066,0.0002635436,0.00006951851,0.00001585018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000785152,"about_ca_system_score_gemma":0.0001050111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006584111,"about_ca_topic_score_gemma":0.00001405769,"domain_scores_codex":[0.9988254,0.0000558612,0.0001842818,0.0005261843,0.0001617575,0.0002465099],"domain_scores_gemma":[0.9996538,0.000002699825,0.00007103973,0.0001296525,0.00002878141,0.0001140762],"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":[0.00008890738,0.00001516331,0.01982035,0.00004206098,0.00002945827,0.000009189778,0.00004367901,0.000009307158,0.9781983,0.0002755337,0.00001762111,0.001450375],"study_design_scores_gemma":[0.0004895554,0.0004721011,0.06723186,0.00003411707,0.00001374703,0.0000584232,0.0001001408,0.00003880468,0.9261547,0.0001797232,0.004908433,0.0003184238],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945989,0.00314523,0.001333024,0.00009697271,0.0002294531,0.0001758157,0.000001572529,0.00001110347,0.0004079577],"genre_scores_gemma":[0.9981934,0.0001914583,0.0009062068,0.0002713835,0.00003588461,0.000006308519,0.00003890954,0.000008374284,0.0003481189],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05204368,"threshold_uncertainty_score":0.6047128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008972292101993407,"score_gpt":0.250085825568466,"score_spread":0.2411135334664726,"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."}}