{"id":"W2180640939","doi":"10.1038/527446b","title":"Gene editing: Govern ability expectations","year":2015,"lang":"en","type":"letter","venue":"Nature","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Genome editing; Computational biology; Gene; Biology; Computer science; Data science; Genetics; Genome","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":[0.007113446,0.0004540447,0.0007520015,0.0002534426,0.003591882,0.004914704,0.001672739,0.02962324,0.006869387],"category_scores_gemma":[0.01782979,0.0003140706,0.0006409538,0.0001461593,0.01480191,0.005312296,0.003883774,0.03462391,0.002612989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003714299,"about_ca_system_score_gemma":0.002621654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003681902,"about_ca_topic_score_gemma":0.007892563,"domain_scores_codex":[0.9949109,0.001022952,0.00028811,0.001263041,0.00163773,0.000877254],"domain_scores_gemma":[0.9930555,0.004057407,0.000337939,0.0006722775,0.0008001427,0.001076726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006641231,0.00004933673,0.0008995073,0.00004644695,0.00003213852,0.001315775,0.001028555,0.0003179508,0.001298352,0.633923,0.3370853,0.02393725],"study_design_scores_gemma":[0.00004484425,0.00004460021,0.0007517965,0.0001036708,0.00001712611,0.001099648,0.0007338955,0.0005726947,0.001014449,0.5257055,0.4698493,0.00006257032],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002279878,0.001704297,0.003140507,0.9472903,0.003749343,0.00001174652,0.00005112996,0.00004966521,0.04172308],"genre_scores_gemma":[0.1034969,0.001134909,0.001346247,0.857168,0.00790752,0.00005962929,0.00004588903,0.00008177452,0.02875919],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02962324,"threshold_uncertainty_score":0.03761995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006386463961730657,"score_gpt":0.2876193445450265,"score_spread":0.2812328805832958,"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."}}