{"id":"W4288950922","doi":"10.1016/j.molcel.2022.06.036","title":"Systematic exploration of dynamic splicing networks reveals conserved multistage regulators of neurogenesis","year":2022,"lang":"en","type":"article","venue":"Molecular Cell","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital; University of Toronto","funders":"National Institutes of Health; University of Toronto; European Commission; Canada First Research Excellence Fund; Government of Ontario; Canadian Institutes of Health Research; Mitacs; Ontario Genomics; Genome Canada","keywords":"Neurogenesis; Biology; Alternative splicing; RNA splicing; Exon; Splicing factor; Neural stem cell; Cell biology; Genetics; Stem cell; Gene; RNA","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":[0.0001959488,0.0001728441,0.0002426244,0.0004047226,0.0002052723,0.0004330439,0.0002279353,0.0001867254,0.0005227385],"category_scores_gemma":[0.000269081,0.0002193021,0.0002365218,0.0003473283,0.0002537339,0.0002814627,0.0002244705,0.0003855724,0.0001598243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002275518,"about_ca_system_score_gemma":0.0001986797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003088647,"about_ca_topic_score_gemma":0.000996933,"domain_scores_codex":[0.9999058,0.00001255213,0.000006780165,0.0000384254,0.0000219914,0.00001446296],"domain_scores_gemma":[0.9997105,0.0001041237,0.0000805586,0.0000603031,0.00002281525,0.00002169142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00008770997,0.00000749953,0.002298777,0.00002407637,0.00001199589,0.00007500815,0.00002379097,0.0005389005,0.9918977,0.0007705764,0.00002666338,0.004237294],"study_design_scores_gemma":[0.00001851987,0.0001695316,0.07074208,0.00001612106,0.0001022972,0.0007995322,0.00009466547,0.01788681,0.9021654,0.003430784,0.004554899,0.00001946967],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9833142,0.0007909903,0.0144059,0.00004209592,0.000005151347,0.00001229307,0.00031936,0.00009735045,0.001012806],"genre_scores_gemma":[0.9906306,0.0004506908,0.00774287,0.0000303608,0.00000565143,0.00001232934,0.0005916557,0.00004268554,0.0004932152],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005227385,"threshold_uncertainty_score":0.001748741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009388622461572226,"score_gpt":0.2390231089349369,"score_spread":0.2296344864733647,"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."}}