{"id":"W4388011859","doi":"10.1016/j.omtn.2023.102066","title":"Progress and harmonization of gene editing to treat human diseases: Proceeding of COST Action CA21113 GenE-HumDi","year":2023,"lang":"en","type":"review","venue":"Molecular Therapy — Nucleic Acids","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","funders":"European Regional Development Fund; Novo Nordisk Fonden; Consejería de Salud y Consumo, Junta de Andalucía; Junta de Andalucía; Lundbeckfonden; Consejería de Transformación Económica, Industria, Conocimiento y Universidades; Consejería de Salud y Familias, Junta de Andalucía; Steno Diabetes Center Aarhus; European Cooperation in Science and Technology","keywords":"Harmonization; Genome editing; Action (physics); Business; Engineering ethics; Knowledge management; Political science; Biotechnology; Genome; Computer science; Gene; Biology; Engineering; Genetics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000125655,0.0003746829,0.0006969202,0.0001851492,0.00007124954,0.00003090639,0.0002306395,0.0002158144,0.000005739559],"category_scores_gemma":[0.0000279207,0.0003608432,0.0002397506,0.0003205497,0.00007190815,0.000005068929,0.0001072091,0.0001029203,0.000001804953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002632792,"about_ca_system_score_gemma":0.00005948426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007775696,"about_ca_topic_score_gemma":0.000001034505,"domain_scores_codex":[0.998475,0.00005012028,0.0005040672,0.0005006674,0.0002099191,0.0002602311],"domain_scores_gemma":[0.9991339,0.000007663702,0.0002711159,0.0003451743,0.0001208096,0.0001213501],"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":[0.00002460048,0.00007665081,0.0002448033,0.005728736,0.0003782204,0.000008894684,0.0001141067,0.00009283271,0.4196294,0.00001630287,0.00008345502,0.573602],"study_design_scores_gemma":[0.001121247,0.0008122122,0.0002382127,0.003319844,0.0008586406,0.00004691937,0.0001560289,0.00006329292,0.8581981,0.00002204752,0.1341371,0.001026325],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.06766096,0.9231536,0.007451358,0.00001100094,0.0001444829,0.00137935,0.0001351125,0.00003969842,0.00002442782],"genre_scores_gemma":[0.03467928,0.9623793,0.001007308,0.00001955685,0.0004353906,0.0002632025,0.0009283815,0.0002093507,0.00007820557],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.5725757,"threshold_uncertainty_score":0.9998844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03568538218232281,"score_gpt":0.3714595403355327,"score_spread":0.3357741581532099,"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."}}