{"id":"W3008892119","doi":"10.1101/2020.03.03.966796","title":"Dissection of the <i>Fgf8</i> regulatory landscape by <i>in vivo</i> CRISPR-editing reveals extensive inter- and intra-enhancer redundancy","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nautical Research Society","funders":"European Molecular Biology Laboratory; Deutsches Krebsforschungszentrum","keywords":"FGF8; Enhancer; Biology; Hindbrain; Genetics; Gene; CRISPR; Computational biology; Gastrulation; Cell biology; Gene expression; Fibroblast growth factor; Embryonic stem cell","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":[0.0001465197,0.0002202426,0.0001501837,0.0001730102,0.0001511364,0.0003706227,0.0002618019,0.0002291357,0.001840298],"category_scores_gemma":[0.0001011957,0.0001499687,0.0002065188,0.00008172481,0.0002497968,0.0001246607,0.0002852589,0.0006487985,0.0007931586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002586665,"about_ca_system_score_gemma":0.0001348816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006146102,"about_ca_topic_score_gemma":0.001006518,"domain_scores_codex":[0.9998723,0.00001539475,0.00000755179,0.00004263985,0.00003874243,0.00002340043],"domain_scores_gemma":[0.9998952,0.00002062212,0.00003914585,0.00002074544,0.000008407743,0.00001581008],"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":[0.00001758941,0.000003909557,0.0001219842,0.000008314464,0.000001786012,0.00002530107,0.000004342856,0.00007963489,0.9986903,0.0002274154,0.00004103544,0.0007783227],"study_design_scores_gemma":[0.000004439906,0.00001854608,0.002322015,0.000003795112,0.0000051708,0.0002380108,0.00001033958,0.001817362,0.9915231,0.0001463044,0.003906743,0.000004001069],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9152303,0.0006379393,0.07417033,0.0002658342,0.00006629757,0.00003313947,0.001023337,0.00107414,0.007498736],"genre_scores_gemma":[0.9750925,0.0002405131,0.01796602,0.00009336377,0.00001233484,0.00002129067,0.0008000559,0.0002646406,0.005509367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001840298,"threshold_uncertainty_score":0.006156385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004869468263258084,"score_gpt":0.1977721075046343,"score_spread":0.1929026392413762,"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."}}