{"id":"W2762534636","doi":"10.1016/j.stem.2017.09.010","title":"Human Embryo Editing: Opportunities and Importance of Transnational Cooperation","year":2017,"lang":"en","type":"article","venue":"Cell stem cell","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"Francis Crick Institute","keywords":"Genome editing; CRISPR; Biology; Scopus; Pace; Zhàng; Corporate governance; Library science; Computational biology; Engineering ethics; Genetics; Political science; Computer science; MEDLINE; China; Gene; Law; Management","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007574186,0.00007072857,0.0000720087,0.00001295127,0.0001215254,0.00002491656,0.00009256072,0.00005590615,0.00001623244],"category_scores_gemma":[0.000001783827,0.00007396127,0.00002522169,0.000005567,0.00005106481,0.000003723062,0.0000288763,0.00002871978,3.073961e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000217325,"about_ca_system_score_gemma":0.00002159252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002156538,"about_ca_topic_score_gemma":0.00001564897,"domain_scores_codex":[0.9996024,0.000006782644,0.000124458,0.0001294198,0.00005637653,0.0000805098],"domain_scores_gemma":[0.9996428,0.00000246756,0.00007432821,0.0001964988,0.00004644173,0.00003748962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000002957329,0.00001789342,0.00130012,0.0000759989,0.000005032432,0.000001317893,0.00005810336,0.0001045904,0.9969213,0.0007536925,0.0004406401,0.0003183684],"study_design_scores_gemma":[0.0003394834,0.00007937304,0.004735462,0.000004639875,0.00001013893,0.000002113014,0.0001542536,0.0001371663,0.9883432,0.00001658111,0.006076633,0.0001009138],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9861511,0.0005709865,0.001294996,0.0001101939,0.00009436023,0.00006813247,0.00001474662,0.000004037321,0.01169147],"genre_scores_gemma":[0.9961123,0.00006959751,0.000152004,0.00001841443,0.0001110476,0.000004333988,0.00004722299,0.000009366703,0.003475718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009961214,"threshold_uncertainty_score":0.3016053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02116641206574744,"score_gpt":0.2766490751489225,"score_spread":0.255482663083175,"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."}}