{"id":"W2127987011","doi":"10.1093/nar/gku573","title":"MegaTevs: single-chain dual nucleases for efficient gene disruption","year":2014,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Canadian Institutes of Health Research","keywords":"Biology; Nuclease; DNA; Genome editing; Gene; Transcription activator-like effector nuclease; Genetics; DNA repair; Genome; Computational biology; Cell biology; Molecular biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000546056,0.000850995,0.0007620343,0.0006022049,0.0002259306,0.0009402416,0.0008881912,0.0008719919,0.001934144],"category_scores_gemma":[0.0005455244,0.0006306622,0.00057202,0.0003753387,0.0004661395,0.0004914567,0.001136244,0.001628197,0.001481134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003813932,"about_ca_system_score_gemma":0.0002738198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001430346,"about_ca_topic_score_gemma":0.000272341,"domain_scores_codex":[0.9993316,0.0001041269,0.00006578704,0.0001617957,0.0002678515,0.00006891655],"domain_scores_gemma":[0.9996327,0.00008810174,0.0001259046,0.00006232496,0.00002287655,0.00006801097],"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":[0.00006870741,0.00002161441,0.0001036413,0.00008199551,0.00001239593,0.00005487982,0.00001874961,0.0001620795,0.9916587,0.00070733,0.0002497139,0.006860122],"study_design_scores_gemma":[0.00001130997,0.00006770318,0.0002466091,0.000007969936,0.000008008404,0.0003278478,0.000005937168,0.001125593,0.9885483,0.0001330818,0.009509948,0.000007755825],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4532124,0.006900131,0.5246901,0.00040163,0.0003498102,0.0006706639,0.002254202,0.005239524,0.006281499],"genre_scores_gemma":[0.7256836,0.003797356,0.2469096,0.0002096703,0.00004165899,0.000762791,0.005123845,0.001225401,0.01624601],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001934144,"threshold_uncertainty_score":0.006470323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03202629017481791,"score_gpt":0.3566033667221462,"score_spread":0.3245770765473283,"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."}}