{"id":"W3094576829","doi":"10.1089/crispr.2020.0082","title":"Human Germline and Heritable Genome Editing: The Global Policy Landscape","year":2020,"lang":"en","type":"article","venue":"The CRISPR Journal","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":145,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Dalhousie University","keywords":"Germline; Genome editing; Genome; Biology; Legislation; Human genome; Genetics; Human genetics; Political science; Evolutionary biology; Computational biology; Gene; Law","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":[0.0002074615,0.0001076181,0.00008881593,0.000008574394,0.0003135595,0.00009236594,0.0002519553,0.00004694657,0.00003545855],"category_scores_gemma":[0.00006381262,0.00006318864,0.00005876724,0.00008330672,0.00005779597,0.000002870305,0.0001365627,0.0001809987,0.000004375777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007402287,"about_ca_system_score_gemma":0.00003533287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001024638,"about_ca_topic_score_gemma":0.000008024715,"domain_scores_codex":[0.9993644,0.0000399513,0.0001490092,0.0001222888,0.0001013617,0.0002230306],"domain_scores_gemma":[0.9996271,0.000005038245,0.00005094373,0.0001510259,0.00003824734,0.0001277107],"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":[0.0001005592,0.00005468771,0.007716328,0.00005916985,0.0003345214,0.00003962127,0.001491986,0.00491122,0.9275184,0.001334926,0.05189022,0.004548411],"study_design_scores_gemma":[0.00287501,0.001129468,0.06060262,0.00003446669,0.0002104041,0.003162911,0.003682011,0.001716306,0.04953106,0.002072113,0.8741526,0.0008310334],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9445021,0.009916513,0.00887616,0.03351174,0.0001969607,0.0001367755,0.00002320496,0.00001896731,0.002817624],"genre_scores_gemma":[0.9935505,0.0002895007,0.0001160832,0.001604319,0.004300958,0.000002050256,0.00000544388,0.00001255811,0.0001185602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8779873,"threshold_uncertainty_score":0.2576758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01090031186074544,"score_gpt":0.3084203935389081,"score_spread":0.2975200816781627,"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."}}