{"id":"W2744797881","doi":"10.1016/j.ajhg.2017.06.012","title":"Human Germline Genome Editing","year":2017,"lang":"en","type":"review","venue":"The American Journal of Human Genetics","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":244,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; Provincial Health Services Authority; University of Toronto; St. Michael's Hospital","funders":"Center for Information Technology; National Institute of Diabetes and Digestive and Kidney Diseases; National Institutes of Health; National Human Genome Research Institute; U.S. Department of Health and Human Services","keywords":"Workgroup; Human genetics; Germline; Bioethics; Genome editing; Genetics; CRISPR; Political science; Biology; Computer science; Gene","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000551169,0.0007250737,0.0006184531,0.00086066,0.0002185205,0.0006884804,0.0007011617,0.0008093409,0.003788004],"category_scores_gemma":[0.0004928765,0.0002053583,0.0002738433,0.0005886581,0.0004896027,0.0004767832,0.0007906854,0.001512624,0.001241911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004503705,"about_ca_system_score_gemma":0.0005593379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003852779,"about_ca_topic_score_gemma":0.000709424,"domain_scores_codex":[0.9998391,0.00002126657,0.00001266124,0.000037312,0.0000611328,0.00002850965],"domain_scores_gemma":[0.9998809,0.00005504578,0.00001654446,0.00001052003,0.00001916215,0.00001775345],"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":[0.00005904742,0.00004142975,0.0001153225,0.003014729,0.00004406689,0.0002807195,0.0000260079,0.0002371012,0.008535917,0.008491864,0.05197925,0.9271746],"study_design_scores_gemma":[0.00001558436,0.00004140317,0.0002722696,0.0004418877,0.00005875095,0.001371298,0.00001228622,0.0001068566,0.005860669,0.002573264,0.9892347,0.00001092757],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001060804,0.970291,0.006812306,0.001583003,0.002827854,0.00003415028,0.0001475532,0.0002418394,0.01700144],"genre_scores_gemma":[0.01271823,0.9656779,0.003646613,0.002363118,0.001012654,0.0000552182,0.0003857864,0.00004320866,0.01409724],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003788004,"threshold_uncertainty_score":0.01267213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04415433096477406,"score_gpt":0.4113080399266139,"score_spread":0.3671537089618399,"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."}}