{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01778923,0.0002783625,0.0004455613,0.001470078,0.001909696,0.008419854,0.0007935411,0.003379461,0.00471645],"category_scores_gemma":[0.01630525,0.0002265549,0.0003605548,0.004043261,0.007272775,0.005167142,0.00358941,0.003352128,0.0002866409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004158733,"about_ca_system_score_gemma":0.008232231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005276426,"about_ca_topic_score_gemma":0.005602771,"domain_scores_codex":[0.9918451,0.003530101,0.0003685376,0.0008655436,0.001918546,0.001472196],"domain_scores_gemma":[0.9812982,0.01205591,0.00289713,0.00129829,0.00134476,0.001105698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001221307,0.00005729462,0.01660515,0.0007681508,0.00006529001,0.0004065551,0.003654088,0.003496259,0.002176658,0.7882829,0.02262549,0.16174],"study_design_scores_gemma":[0.00003222344,0.0001913984,0.04098067,0.002232198,0.00007103772,0.000870474,0.01458544,0.0008838398,0.002648815,0.2509898,0.6863841,0.0001300423],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.1634023,0.08836338,0.01567083,0.5306581,0.001282738,0.00009015603,0.00108011,0.0001510576,0.1993013],"genre_scores_gemma":[0.894114,0.03547416,0.008412085,0.05425933,0.0003989702,0.0000943366,0.0004715373,0.00006977232,0.006705915],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01778923,"threshold_uncertainty_score":0.09407955,"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."}}