{"id":"W4396616763","doi":"10.3390/cimb46050255","title":"Recent Therapeutic Gene Editing Applications to Genetic Disorders","year":2024,"lang":"en","type":"review","venue":"Current Issues in Molecular Biology","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"Health Canada; Government of Canada","keywords":"Genome editing; CRISPR; Cas9; Computational biology; Genetic enhancement; Transcription activator-like effector nuclease; Biology; Computer science; Bioinformatics; Gene; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001663928,0.0005655023,0.000778899,0.0003065191,0.00003898324,0.00003555406,0.0005697715,0.0004354711,0.00001695022],"category_scores_gemma":[0.00004860125,0.0005178847,0.0003337102,0.0004854419,0.00007100749,0.000001044111,0.0004036319,0.000395754,0.0001364046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005620599,"about_ca_system_score_gemma":0.0001118784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003964391,"about_ca_topic_score_gemma":0.00001806612,"domain_scores_codex":[0.9975542,0.0001591277,0.0006156248,0.001031002,0.0001026479,0.000537439],"domain_scores_gemma":[0.9989721,0.00001469315,0.00009426186,0.0007450305,0.00004204311,0.0001318372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001694594,0.00004664825,0.000007259252,0.001648472,0.0001064952,0.000003378802,0.00001908319,0.00007754502,0.001587044,0.0001508457,0.0003601046,0.9959914],"study_design_scores_gemma":[0.00008321599,0.00009901381,0.000001720562,0.000801945,0.0002656418,0.00001747507,0.000006672366,0.00001128522,0.000520354,0.0003281009,0.9973626,0.0005019406],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001828335,0.918728,0.07858038,0.00008417268,0.001156696,0.001240867,0.00006915008,0.00003569221,0.00008679008],"genre_scores_gemma":[0.00006592095,0.9943823,0.002210219,0.00005567559,0.0008925066,0.001249774,0.0009573349,0.0001204193,0.00006588441],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9970025,"threshold_uncertainty_score":0.9997272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02543826433593848,"score_gpt":0.4410707447389453,"score_spread":0.4156324804030068,"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."}}