{"id":"W4408721834","doi":"10.1016/j.ymthe.2025.03.013","title":"Try before you buy: Empirical comparison of base editing approaches","year":2025,"lang":"en","type":"article","venue":"Molecular Therapy","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University Health Centre","funders":"Ögonfonden; National Eye Institute; University of Southern California; Research to Prevent Blindness; Knights Templar Eye Foundation","keywords":"Base (topology); Computer science; Computational biology; Biology; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001170871,0.000149904,0.0001953371,0.00005622486,0.00003958719,0.0000119697,0.0001765085,0.0001391945,0.000009344995],"category_scores_gemma":[0.00003131307,0.0001434727,0.0001325868,0.0001309414,0.00005292882,0.000001352515,0.00006022816,0.00009644069,0.000001409539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007184611,"about_ca_system_score_gemma":0.0000383386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005197859,"about_ca_topic_score_gemma":0.000004048524,"domain_scores_codex":[0.9991615,0.00003909029,0.0002290791,0.000267764,0.0001111799,0.000191388],"domain_scores_gemma":[0.9995157,0.000006114414,0.00004796332,0.0003477402,0.00003865618,0.00004380124],"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":[0.00006672092,0.0001725727,0.0178017,0.00004700669,0.0001600698,0.000003327442,0.0002471282,0.002175577,0.9409127,0.0001972122,0.001108878,0.03710713],"study_design_scores_gemma":[0.0005969272,0.0001900906,0.002290142,0.00001897572,0.00001467937,0.000001979434,0.0002185251,0.001581784,0.9780561,0.0001060786,0.01679799,0.0001267551],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8929412,0.005106136,0.1000291,0.0003246116,0.0001516408,0.0001496245,0.0000063003,0.00001659002,0.001274807],"genre_scores_gemma":[0.9972056,0.00003877729,0.002048051,0.0002582129,0.000104575,0.00001865752,0.00006570393,0.00002033938,0.0002401111],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1042643,"threshold_uncertainty_score":0.5850647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02932065386055851,"score_gpt":0.3519821885122223,"score_spread":0.3226615346516639,"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."}}