{"id":"W4386741810","doi":"10.1172/jci.insight.171281","title":"Genome editing without nucleases confers proliferative advantage to edited hepatocytes and corrects Wilson disease","year":2023,"lang":"en","type":"article","venue":"JCI Insight","topic":"Trace Elements in Health","field":"Nursing","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics; Fondazione Telethon","keywords":"Genome editing; Disease; Genome; Computational biology; Biology; Computer science; Cell biology; Genetics; Medicine; Gene; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001957347,0.0002786235,0.0003162671,0.0002805311,0.0003885369,0.0001280075,0.0001472701,0.00007148726,0.0000740374],"category_scores_gemma":[0.0006073127,0.0002670776,0.00004377944,0.0004633772,0.00009211038,0.0003605706,0.00012017,0.000242667,0.0002163823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001880253,"about_ca_system_score_gemma":0.00007809254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004318626,"about_ca_topic_score_gemma":0.00006170172,"domain_scores_codex":[0.9979187,0.0001472732,0.0003505257,0.0005592374,0.0004040265,0.0006202281],"domain_scores_gemma":[0.9986249,0.0002456127,0.0001338326,0.0003053659,0.000112925,0.0005773956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003344266,0.0004997181,0.8881566,0.001095143,0.0001574335,0.0005051693,0.03160419,0.000421078,0.01899012,0.0008575578,0.0322804,0.02208834],"study_design_scores_gemma":[0.003210519,0.001560303,0.7250912,0.0008891153,0.0001849136,0.00001802557,0.005529017,0.0092037,0.009964881,0.000348089,0.2427007,0.001299529],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903199,0.0002181016,0.0000472161,0.003418145,0.002906177,0.001466095,0.000141815,0.0006424859,0.0008400533],"genre_scores_gemma":[0.9955759,0.00003398205,0.0004285835,0.001906963,0.001482542,0.0001410726,0.00009757244,0.00008249925,0.0002508767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2104203,"threshold_uncertainty_score":0.9999781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02483086566680619,"score_gpt":0.3135973156993287,"score_spread":0.2887664500325225,"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."}}