{"id":"W2980262914","doi":"10.1089/crispr.2019.0019","title":"Heritable Genome Editing: Who Speaks for “Future” Children?","year":2019,"lang":"en","type":"article","venue":"The CRISPR Journal","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Clinical trial; Genome editing; Medicine; Genome; Genetics; Pathology; Biology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003497347,0.0001344919,0.0001282742,0.00002472665,0.0001616032,0.00007044319,0.0003020474,0.00008108876,0.00009629497],"category_scores_gemma":[0.00002419175,0.00009685382,0.0001418129,0.00004339501,0.00002218403,0.000004206843,0.00006518613,0.0001878587,0.00002277592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001088754,"about_ca_system_score_gemma":0.00003328764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002294442,"about_ca_topic_score_gemma":0.000002513381,"domain_scores_codex":[0.999199,0.00002372499,0.000179779,0.0001667114,0.0001118219,0.0003190093],"domain_scores_gemma":[0.9994839,0.000009077579,0.00006984467,0.0002794542,0.00007392147,0.00008382923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001716232,0.00007445212,0.007774496,0.00005141324,0.0003898212,0.000003570422,0.0005148772,0.005224798,0.9414752,0.0003628692,0.03857459,0.005382329],"study_design_scores_gemma":[0.002408494,0.0008126213,0.04029044,0.00003951988,0.00011275,0.001157807,0.001138734,0.0004558987,0.2428684,0.0004974501,0.7095859,0.0006319291],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9600407,0.005492632,0.03033776,0.0009926999,0.001356949,0.0003384404,0.00002002161,0.00001238617,0.001408337],"genre_scores_gemma":[0.9887114,0.0004382692,0.001034778,0.0003415625,0.007248507,0.000007986161,0.00002682258,0.00003929972,0.002151402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6986067,"threshold_uncertainty_score":0.3949584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004312620294513896,"score_gpt":0.2667454569251332,"score_spread":0.2624328366306193,"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."}}