{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001867756,0.0002540869,0.0002344555,0.0002420022,0.00009445334,0.000297896,0.0001577228,0.0002970576,0.0008930805],"category_scores_gemma":[0.0001609147,0.0001166194,0.0001778046,0.00007839601,0.0002420112,0.0001514787,0.0001968506,0.0004167171,0.0001898441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001210045,"about_ca_system_score_gemma":0.0001519126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004394209,"about_ca_topic_score_gemma":0.0008452692,"domain_scores_codex":[0.9998598,0.00002437406,0.00001307013,0.00003510527,0.00004084854,0.00002667914],"domain_scores_gemma":[0.9998963,0.00002415262,0.00002402072,0.00001797118,0.00001172914,0.00002580773],"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":[0.00005725762,0.00001646347,0.00006066088,0.00001740946,0.000003383896,0.00006541084,0.00001380172,0.00005713369,0.9975771,0.0001284751,0.00003351175,0.001969433],"study_design_scores_gemma":[0.00002151498,0.0004124012,0.00124879,0.000004594367,0.00001588562,0.0003900567,0.00001785585,0.0006705414,0.9937563,0.00007923783,0.003377487,0.000005300898],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.97724,0.001308877,0.01731697,0.0001706755,0.00009268279,0.00004224056,0.0002339381,0.0005544937,0.003040011],"genre_scores_gemma":[0.9875051,0.0007256016,0.006230824,0.00007613756,0.00001941466,0.00002596594,0.0002258921,0.00009452016,0.0050966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008930805,"threshold_uncertainty_score":0.002987683,"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."}}