{"id":"W2036488704","doi":"10.1007/s12033-012-9613-9","title":"Biological and Biomedical Applications of Engineered Nucleases","year":2012,"lang":"en","type":"review","venue":"Molecular Biotechnology","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; University of Waterloo","funders":"Division of Graduate Education; Priority Academic Program Development of Jiangsu Higher Education Institutions; National Natural Science Foundation of China","keywords":"Transcription activator-like effector nuclease; Zinc finger nuclease; Genome editing; Genome engineering; Genetic enhancement; Computational biology; Biology; Gene; Gene targeting; Genetic engineering; CRISPR; Genetics","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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00010387,0.0003220373,0.0007133036,0.0002305254,0.00002551063,0.000005309238,0.0003189722,0.001448517,0.00001956426],"category_scores_gemma":[0.00005813153,0.0002770062,0.0002247251,0.0002547087,0.0003397012,8.109752e-7,0.0003417853,0.000231609,0.00001273919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007891275,"about_ca_system_score_gemma":0.00004517809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001565688,"about_ca_topic_score_gemma":3.803582e-7,"domain_scores_codex":[0.998745,0.00004321995,0.0003882948,0.000434423,0.00008057852,0.0003084533],"domain_scores_gemma":[0.9991572,0.00001657863,0.0001249536,0.0005707575,0.0000240851,0.0001064437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002361314,0.00007202168,0.000001884614,0.0013694,0.000173968,0.00000420597,0.000002068138,6.314243e-7,0.04679906,0.0006763759,0.00004289422,0.9508551],"study_design_scores_gemma":[0.0000969962,0.0001564719,0.000001880615,0.0001707384,0.0002245767,0.0001450433,0.000004586317,0.000001699613,0.01835601,0.0000219804,0.9805508,0.0002691981],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003103687,0.9452625,0.05377359,0.00002564813,0.00006058406,0.0004216793,0.00007226111,0.00003281159,0.00004053715],"genre_scores_gemma":[0.004172232,0.9921927,0.002961143,0.000011907,0.0000981311,0.0001296288,0.0003636692,0.00004811694,0.00002241815],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9805079,"threshold_uncertainty_score":0.9999682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01433072264438011,"score_gpt":0.3139258708535893,"score_spread":0.2995951482092092,"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."}}