{"id":"W4402645288","doi":"10.1002/advs.202405628","title":"Efficient Rescue of Retinal Degeneration in <i>Pde6a</i> Mice by Engineered Base Editing and Prime Editing","year":2024,"lang":"en","type":"article","venue":"Advanced Science","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Eye Institute; School of Medicine, Stanford University; National Institutes of Health; Children's Health Research Institute; International Retinal Research Foundation; U.S. Department of Veterans Affairs","keywords":"Prime (order theory); Retinal degeneration; Base (topology); Degeneration (medical); Retinal; Computer science; Medicine; Ophthalmology; Mathematics; Combinatorics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002697851,0.0005751827,0.0003525549,0.0002375229,0.0001574394,0.0003202323,0.0003794777,0.0006194285,0.001532094],"category_scores_gemma":[0.0001595309,0.0001956152,0.000405618,0.0001157458,0.0002752203,0.0002136149,0.0003344511,0.0007568622,0.0005038374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002194621,"about_ca_system_score_gemma":0.0001733093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005039703,"about_ca_topic_score_gemma":0.0005982401,"domain_scores_codex":[0.9997374,0.00003297651,0.00002423817,0.00007215905,0.00009615139,0.00003702794],"domain_scores_gemma":[0.9998888,0.00001749027,0.00004800318,0.00001536834,0.000008977276,0.00002135016],"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":[0.00003154624,0.00001142134,0.0000348424,0.00003256719,0.000005165729,0.00005855808,0.000007773515,0.00009982423,0.9977781,0.0003194662,0.00007602147,0.001544837],"study_design_scores_gemma":[0.00001566142,0.0001446289,0.0005294474,0.000006617871,0.00001348803,0.0003552947,0.000006375012,0.001295546,0.9924713,0.00008786219,0.005065456,0.000008378332],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8804257,0.002683059,0.1002195,0.0004143256,0.0002166031,0.0002410205,0.001842769,0.002220731,0.01173631],"genre_scores_gemma":[0.9433833,0.002088842,0.04214358,0.00013746,0.00002847734,0.0001445826,0.001139067,0.0002869447,0.01064774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001532094,"threshold_uncertainty_score":0.005125403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003244076701889193,"score_gpt":0.2636056925617112,"score_spread":0.260361615859822,"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."}}