{"id":"W1560326776","doi":"10.1038/nbt.3227","title":"CRISPR germline engineering—the community speaks","year":2015,"lang":"en","type":"article","venue":"Nature Biotechnology","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":143,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"National Institute of General Medical Sciences; Francis Crick Institute","keywords":"CRISPR; Germline; Gene engineering; Biology; Ethical issues; Genome editing; Engineering ethics; Biotechnology; Computational biology; Genetics; Environmental ethics; Engineering; Gene; Philosophy","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.02494461,0.0009659468,0.00154664,0.001418027,0.004986148,0.008524576,0.002207956,0.01195959,0.009212386],"category_scores_gemma":[0.04022092,0.0003792884,0.001028101,0.001158361,0.01141508,0.010774,0.008470713,0.02755475,0.003414398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002245618,"about_ca_system_score_gemma":0.00717325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00402424,"about_ca_topic_score_gemma":0.004431951,"domain_scores_codex":[0.9865534,0.003185548,0.000589814,0.001847674,0.006278669,0.001544925],"domain_scores_gemma":[0.9419893,0.02316998,0.002134127,0.004708241,0.01323225,0.01476606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002063594,0.0001322121,0.001329614,0.0001830922,0.0000972447,0.0003058923,0.0007618621,0.0001555066,0.002972048,0.05720863,0.8273463,0.1093013],"study_design_scores_gemma":[0.00007363631,0.000102869,0.0006333193,0.0002443159,0.00005607771,0.000335031,0.001348766,0.0001663421,0.002273839,0.05906535,0.9356155,0.0000849862],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.001255263,0.007990078,0.003046734,0.9627017,0.0190097,0.000008505989,0.00006917275,0.0002150226,0.005703709],"genre_scores_gemma":[0.04390383,0.01383458,0.004629475,0.8922396,0.02095645,0.00006563751,0.0002296572,0.0004554713,0.02368537],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9950138,"threshold_uncertainty_score":0.1319212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008692604092927473,"score_gpt":0.2960058029281248,"score_spread":0.2873131988351973,"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."}}