{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001942956,0.0002550947,0.0002819583,0.0004177803,0.0004177174,0.0009555448,0.0004183251,0.0004323342,0.002768454],"category_scores_gemma":[0.0003477031,0.0003503295,0.0002392871,0.0001541544,0.0005142351,0.0005794275,0.000711843,0.001044652,0.0008307596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000748921,"about_ca_system_score_gemma":0.0004551449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002567182,"about_ca_topic_score_gemma":0.01066651,"domain_scores_codex":[0.9996287,0.00003638927,0.00002064286,0.00008026382,0.00009239323,0.0001416447],"domain_scores_gemma":[0.9996124,0.0000993975,0.00008689951,0.00003285421,0.00004805523,0.00012053],"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":[0.0001869657,0.000009463397,0.001474827,0.00001376,0.000003411108,0.00009474791,0.00006309482,0.0001086632,0.9950646,0.0006271787,0.00007166756,0.002281694],"study_design_scores_gemma":[0.00001898111,0.0001079575,0.04625008,0.00001901387,0.00001016386,0.0003620688,0.0004100593,0.001336789,0.9475654,0.0002781667,0.003632058,0.000009186723],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920129,0.0008847816,0.003274679,0.00006648458,0.00004094707,0.000008415518,0.0001504915,0.00007350965,0.003487726],"genre_scores_gemma":[0.9835631,0.0003257139,0.001193416,0.00007117025,0.000009527297,0.00001632853,0.000376531,0.0001001002,0.0143441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002768454,"threshold_uncertainty_score":0.009261429,"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."}}