{"id":"W7110777174","doi":"10.5281/zenodo.17861141","title":"CRISPR Genome Editing Accuracy: Framework 50 Achieves 80% Confidence Through Convergent Validation with CASGEVY Clinical Trial Correlation (93% Success Rate)","year":2025,"lang":"","type":"preprint","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Society for the Study of Architecture in Canada","funders":"","keywords":"CRISPR; Probabilistic logic; Genome editing; Correlation; Concordance; Clinical trial; Fidelity; Redundancy (engineering)","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":[0.02552346,0.00129512,0.001421611,0.0009892866,0.000647356,0.002231083,0.00189295,0.001747326,0.009315666],"category_scores_gemma":[0.06591582,0.0006411817,0.001700229,0.0004350303,0.0008410528,0.0009971557,0.002000897,0.002136708,0.003548462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001636511,"about_ca_system_score_gemma":0.006390636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004288428,"about_ca_topic_score_gemma":0.004954773,"domain_scores_codex":[0.985927,0.005153914,0.0006760784,0.002012852,0.005499134,0.0007309662],"domain_scores_gemma":[0.9782957,0.01137675,0.001518899,0.003472693,0.004671683,0.0006642792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005692746,0.0008568451,0.05095861,0.001570406,0.002493822,0.0005656091,0.0004867187,0.3088692,0.03546404,0.03042631,0.08325431,0.4793614],"study_design_scores_gemma":[0.002295856,0.003953619,0.02305081,0.0008087134,0.001316626,0.001039807,0.0001179406,0.804041,0.07291412,0.03216978,0.05796771,0.0003240232],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.119124,0.001936477,0.8104489,0.00312842,0.0003555763,0.002086545,0.006600014,0.02442325,0.03189681],"genre_scores_gemma":[0.680821,0.0004643293,0.2946594,0.002539315,0.0001370137,0.001807711,0.009754308,0.003009761,0.006807219],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02552346,"threshold_uncertainty_score":0.1349826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04837693192046138,"score_gpt":0.3619568168930636,"score_spread":0.3135798849726022,"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."}}