{"id":"W4401983837","doi":"10.1101/2024.08.29.610263","title":"CRISPR/dCas-mediated counter-silencing – Reprogramming dCas proteins into antagonists of xenogeneic silencers","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Reprogramming; CRISPR; Gene silencing; Biology; Genetics; Argonaute; Computational biology; RNA interference; RNA; Gene","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":[0.000151209,0.0004769437,0.0003270314,0.0002128258,0.0001688413,0.0004550325,0.0002643076,0.0002394185,0.001224762],"category_scores_gemma":[0.0001230568,0.0001640396,0.000272508,0.000164014,0.0003127357,0.0001426812,0.0003690926,0.0007469167,0.0005338895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000502962,"about_ca_system_score_gemma":0.0003033254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001261323,"about_ca_topic_score_gemma":0.002059672,"domain_scores_codex":[0.9997895,0.00001877818,0.00001700873,0.0000694269,0.00006997223,0.00003526265],"domain_scores_gemma":[0.9998713,0.00001648781,0.00004293474,0.00002281883,0.00001984195,0.00002674078],"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":[0.00001492567,0.000004674041,0.000080312,0.00001907874,0.000002330574,0.00001748029,0.000005489653,0.00006896993,0.998956,0.00008066094,0.00002063424,0.0007294204],"study_design_scores_gemma":[0.000005411743,0.00005999015,0.0009112104,0.000004573166,0.000008877252,0.0001456508,0.00001582158,0.001206269,0.9920822,0.00002724557,0.005526945,0.000005721743],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9482861,0.001706985,0.04226613,0.0001940116,0.000143435,0.0001636609,0.001296043,0.0008000801,0.005143471],"genre_scores_gemma":[0.9801276,0.000645471,0.01212039,0.00009308429,0.00001143092,0.00007102135,0.001029256,0.0001225336,0.005779122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001261323,"threshold_uncertainty_score":0.004097223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007321891411488617,"score_gpt":0.2585598682431005,"score_spread":0.2512379768316119,"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."}}