{"id":"W4377232930","doi":"10.1093/hmg/ddad089","title":"FOXG1 targets BMP repressors and cell cycle inhibitors in human neural progenitor cells","year":2023,"lang":"en","type":"article","venue":"Human Molecular Genetics","topic":"Genetics and Neurodevelopmental Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Neurological Institute and Hospital; McGill University; Group for Research in Decision Analysis","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Consejo Nacional de Ciencia y Tecnología; Canada Research Chairs","keywords":"Biology; Forebrain; Neural stem cell; Chromatin immunoprecipitation; Cell biology; Cell cycle; Cell growth; Progenitor cell; Genetics; Stem cell; Gene; Gene expression; Neuroscience; Central nervous system","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00009868327,0.0002063365,0.0001799588,0.000306598,0.0001580017,0.0002748299,0.0001305814,0.0001374946,0.0008612305],"category_scores_gemma":[0.0000789362,0.0001192155,0.0001534409,0.0001369433,0.0001372156,0.00007105029,0.0001880468,0.0001836928,0.000338908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004596162,"about_ca_system_score_gemma":0.0004055674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002942319,"about_ca_topic_score_gemma":0.00497165,"domain_scores_codex":[0.9999362,0.000005774155,0.000002644083,0.00001621692,0.00002316452,0.0000160043],"domain_scores_gemma":[0.9999781,0.000004467589,0.000005656212,0.000002284164,0.000002731492,0.000006891889],"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":[0.00005216822,0.00001037031,0.0006580508,0.00002216805,0.000004033934,0.00005182582,0.000009699818,0.0001637733,0.9956192,0.0002495333,0.00009641857,0.003062628],"study_design_scores_gemma":[0.000007790049,0.000040261,0.007926414,0.000004501273,0.000009799587,0.0001711653,0.0000183794,0.001122497,0.9856571,0.0000997285,0.004940154,0.000002251104],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9849958,0.004688782,0.00542836,0.0002168288,0.00002648757,0.00004211828,0.0008628448,0.0001508821,0.003587789],"genre_scores_gemma":[0.984969,0.002837636,0.004956571,0.0001407478,0.000008761693,0.00004985062,0.001505794,0.00004880527,0.005482711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002942319,"threshold_uncertainty_score":0.005850375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008568015324639314,"score_gpt":0.240363816783624,"score_spread":0.2317958014589847,"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."}}