{"id":"W3151926724","doi":"10.1007/s00439-021-02272-5","title":"Addressing the dark matter of gene therapy: technical and ethical barriers to clinical application","year":2021,"lang":"en","type":"review","venue":"Human Genetics","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Genome Canada; Université Laval; Dalhousie University","funders":"Canadian Institutes of Health Research","keywords":"Genome editing; Engineering ethics; Rigour; CRISPR; Genetic enhancement; Bioethics; Biology; Bioinformatics; Genetics; Gene; Engineering; Epistemology","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":[],"consensus_categories":[],"category_scores_codex":[0.0004968445,0.0002811619,0.0006844478,0.00004182959,0.0001045579,0.00003652741,0.0003739074,0.0008101313,0.00002224814],"category_scores_gemma":[0.00008951794,0.0002127413,0.0002893044,0.0001105558,0.0001931371,4.222361e-7,0.0002734416,0.0005073904,0.000004644376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009014419,"about_ca_system_score_gemma":0.0001547301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001697073,"about_ca_topic_score_gemma":0.00000599855,"domain_scores_codex":[0.9982224,0.0002026643,0.0006705073,0.0005299788,0.0001624249,0.0002120926],"domain_scores_gemma":[0.99868,0.00005560929,0.0001560908,0.0008391354,0.00007727219,0.0001919017],"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":[0.00001167511,0.00004919076,0.0004516336,0.00174837,0.000319865,0.000003639808,0.00008308394,0.00005936381,0.02203259,0.00006983607,0.0108414,0.9643294],"study_design_scores_gemma":[0.0001475721,0.0001409599,0.0003616522,0.0005369869,0.0002001333,0.00004181911,0.00001608444,0.000003472235,0.001624612,0.00001730163,0.9965997,0.0003097565],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001284644,0.9915937,0.006196286,0.00006728309,0.0001053738,0.0005516024,0.00002683268,0.000007821823,0.0001664292],"genre_scores_gemma":[0.004145251,0.9921025,0.002403239,0.0004881059,0.0004819254,0.00009749152,0.000153341,0.0000691747,0.00005894457],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9857582,"threshold_uncertainty_score":0.8675339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08908880714549537,"score_gpt":0.4568357409717907,"score_spread":0.3677469338262954,"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."}}