{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002468104,0.001000946,0.001757354,0.00213306,0.0004855243,0.002317189,0.001440397,0.003471314,0.004057012],"category_scores_gemma":[0.002963593,0.0002580224,0.0004790873,0.001742704,0.001920011,0.002425729,0.001270653,0.005516903,0.002127497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001335931,"about_ca_system_score_gemma":0.003103691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001458227,"about_ca_topic_score_gemma":0.003714922,"domain_scores_codex":[0.9993597,0.0001845331,0.00004854129,0.00007571808,0.0002690829,0.00006243087],"domain_scores_gemma":[0.9976419,0.00167221,0.0001296299,0.00005389444,0.0003525541,0.0001498989],"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":[0.00006893485,0.000064333,0.00009677027,0.009955466,0.00005873238,0.0002528291,0.00008537609,0.000392289,0.001180869,0.02235769,0.1195241,0.8459626],"study_design_scores_gemma":[0.00001392527,0.00004672112,0.0002163653,0.004097254,0.00004428092,0.000732129,0.00006844948,0.00008234574,0.0002329029,0.007194948,0.9872514,0.00001925218],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00002712525,0.9968707,0.0001969586,0.00167102,0.0004274033,0.000001816944,0.000008385174,0.000006645084,0.0007900901],"genre_scores_gemma":[0.0004835058,0.9964186,0.0002979259,0.001499016,0.000631393,0.000006233159,0.00001686499,0.000003625351,0.00064293],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004057012,"threshold_uncertainty_score":0.0135721,"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."}}