{"id":"W4390789600","doi":"10.1101/2024.01.11.575174","title":"<i>NEUROG2</i> regulates a human-specific neurodevelopmental gene regulatory program","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Pluripotent Stem Cells Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Brain Institute; Canada Research Chairs; University of New Brunswick; Toronto General Hospital; University of Toronto; Sunnybrook Health Science Centre","funders":"Natural Sciences and Engineering Research Council of Canada; Azrieli Foundation; International Development Research Centre; Sunnybrook Research Institute; Canadian Institutes of Health Research; Hospital for Sick Children","keywords":"Biology; Progenitor cell; Neural stem cell; Cell biology; Extracellular matrix; Neurogenesis; Induced pluripotent stem cell; Embryonic stem cell; Stem cell; Gene; Genetics","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":[0.00006793519,0.0002506705,0.0001616524,0.0001763448,0.0001568861,0.000260687,0.00008316817,0.0001431519,0.0010726],"category_scores_gemma":[0.00005654407,0.0001024357,0.0001708879,0.0001411882,0.0001868845,0.00006908104,0.0001612423,0.0002290503,0.0004244967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002664314,"about_ca_system_score_gemma":0.0002208153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001486642,"about_ca_topic_score_gemma":0.002647672,"domain_scores_codex":[0.9999266,0.000005660405,0.000003385447,0.00002880887,0.00002174499,0.00001393531],"domain_scores_gemma":[0.9999493,0.000005398106,0.00001806656,0.000007140478,0.000007805526,0.00001223031],"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":[0.00003701145,0.000002796976,0.0005900388,0.00001365705,0.000003260971,0.00007325765,0.000008017374,0.00004404176,0.9982873,0.00005927705,0.0001232725,0.0007581668],"study_design_scores_gemma":[0.00001084414,0.00008819521,0.08184797,0.00001805366,0.00002917009,0.0009887188,0.00008041892,0.001298081,0.9056804,0.0001450188,0.009805144,0.000008125277],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836835,0.00235538,0.0046608,0.0002427364,0.00004161382,0.00004059126,0.005046009,0.0002953571,0.003634048],"genre_scores_gemma":[0.9886597,0.0007965713,0.002861619,0.0002261964,0.00001716811,0.00003363789,0.004022803,0.00009177835,0.003290405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001486642,"threshold_uncertainty_score":0.003588259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01537756299658587,"score_gpt":0.2444505397640555,"score_spread":0.2290729767674696,"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."}}