{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003073186,0.000161955,0.0001254091,0.00006577833,0.0000699697,0.00001255868,0.0005100644,0.001011874,0.000006222931],"category_scores_gemma":[0.0004429808,0.0001267087,0.0000600286,0.0001721875,0.00009315058,0.000001533386,0.0002751868,0.001202933,0.00001899893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001486463,"about_ca_system_score_gemma":0.0000330863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000187867,"about_ca_topic_score_gemma":0.00004012724,"domain_scores_codex":[0.999275,0.00003617026,0.0001383445,0.0001930842,0.00009921006,0.0002582],"domain_scores_gemma":[0.9990371,0.00001601681,0.00003280187,0.0007750663,0.00006696668,0.0000719911],"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":[0.00005277161,0.0000882063,0.0003855099,0.00002461135,0.00009614664,0.00001027105,0.00009813491,0.001448621,0.9538468,0.002829585,0.03545697,0.005662392],"study_design_scores_gemma":[0.0003071992,0.0001789826,0.0006263112,0.000004486652,0.00001159442,0.00008121853,0.0001000203,0.0002588853,0.5417926,0.0001059686,0.4563707,0.0001619532],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9531105,0.009824025,0.02898686,0.005292681,0.001209574,0.0002669943,0.00001973822,0.0002421625,0.001047435],"genre_scores_gemma":[0.9966533,0.00009113736,0.002105052,0.0004513385,0.0002939918,0.00001083394,0.00004494825,0.00002599592,0.0003233579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4209138,"threshold_uncertainty_score":0.7804496,"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."}}