{"id":"W4383226457","doi":"10.1136/jme-2023-109061","title":"Guerrilla eugenics: gene drives in heritable human genome editing","year":2023,"lang":"en","type":"article","venue":"Journal of Medical Ethics","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Genome editing; Eugenics; CRISPR; Genome; Bioethics; Genetics; Biology; Human genome; Human genetics; Cas9; Gene","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":[0.003176795,0.00009558778,0.0001797442,0.0001014397,0.00005813265,0.00001696274,0.000301976,0.0005686524,0.00004517684],"category_scores_gemma":[0.001869716,0.00008704601,0.00009590715,0.000164542,0.00007136136,0.000003294904,0.000135957,0.001102266,0.00000599695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001521182,"about_ca_system_score_gemma":0.0003012443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001394839,"about_ca_topic_score_gemma":0.0000942513,"domain_scores_codex":[0.9982251,0.00007596068,0.0004248951,0.0001260828,0.0008986043,0.0002493824],"domain_scores_gemma":[0.99936,0.00007191004,0.0001045918,0.0001313695,0.0001463872,0.0001857504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002001395,0.00005847833,0.001731254,0.0001385137,0.0000916615,0.0003362385,0.001149386,0.005517249,0.986617,0.0002924188,0.002256548,0.001791198],"study_design_scores_gemma":[0.007669747,0.002207613,0.06251665,0.00132514,0.0001312826,0.001686037,0.006129731,0.004593271,0.317636,0.003633538,0.5909505,0.001520475],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986688,0.002647068,0.005550901,0.003954583,0.0007174771,0.00004887981,0.000003668443,0.00001154908,0.0003778932],"genre_scores_gemma":[0.9930236,0.003495464,0.000842136,0.0004045425,0.002039998,0.000001552992,0.00001676931,0.00001911634,0.0001567934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6689811,"threshold_uncertainty_score":0.4788858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.024889606380148,"score_gpt":0.3825037551490578,"score_spread":0.3576141487689097,"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."}}