{"id":"W2024310097","doi":"10.1016/j.mcn.2009.09.003","title":"Neuregulin-1 modulates the differentiation of neural stem cells in vitro trough an interaction with the Swi/Snf complex","year":2009,"lang":"en","type":"article","venue":"Molecular and Cellular Neuroscience","topic":"Chromatin Remodeling and Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Infection and Immunity","funders":"Fédération Wallonie-Bruxelles; Fonds pour la Formation à la Recherche dans l’Industrie et dans l’Agriculture; Fonds De La Recherche Scientifique - FNRS","keywords":"Neuregulin; Biology; Cell biology; Gene isoform; Neural stem cell; Neuregulin 1; Transmembrane domain; Transmembrane protein; Cellular differentiation; In vitro; Stem cell; Signal transduction; Gene; Receptor; Genetics","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":[0.0001152118,0.000126859,0.0001029596,0.00002382541,0.000108704,0.00005447815,0.0002312888,0.00003893687,7.96406e-7],"category_scores_gemma":[0.000004463591,0.00007519376,0.00004404672,0.0001353145,0.0001320873,0.00001206569,0.0000380265,0.0001040335,1.444396e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005202809,"about_ca_system_score_gemma":0.00001613908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001808141,"about_ca_topic_score_gemma":0.000007347062,"domain_scores_codex":[0.9990691,0.0001241977,0.0001500746,0.0003150838,0.0001760011,0.0001655286],"domain_scores_gemma":[0.9995139,0.000007458035,0.00009149317,0.0003171697,0.00003374897,0.00003623291],"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":[0.00007265734,0.00004407849,0.00004470643,0.000004801857,0.000001551664,0.000003290903,0.00008820641,0.0087463,0.9867423,0.0000156147,0.000007694042,0.004228756],"study_design_scores_gemma":[0.0002305593,0.0002942958,0.002111388,0.000004956694,0.00001088553,0.00001418076,0.00008790415,0.08054271,0.9164671,0.00002676828,0.0001203887,0.00008881416],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893889,0.0002037113,0.009698383,0.0004430318,0.0000680756,0.0001604958,0.000003587747,0.000006487319,0.00002727846],"genre_scores_gemma":[0.9990678,0.00002233926,0.00005316474,0.0007797827,0.00002484068,0.000004602525,0.00001108461,0.000008743868,0.00002760914],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07179642,"threshold_uncertainty_score":0.3066312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01336385118925498,"score_gpt":0.2329130629019376,"score_spread":0.2195492117126826,"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."}}