{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008204427,0.000133384,0.000122416,0.00009774117,0.0001880751,0.00005655824,0.0001938737,0.0001439309,0.00003143185],"category_scores_gemma":[0.0005080787,0.0001289228,0.00009272927,0.0001323784,0.000116276,0.000002189601,0.0001642679,0.0001251927,0.00003706531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003171866,"about_ca_system_score_gemma":0.00002970872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001046993,"about_ca_topic_score_gemma":0.000007572551,"domain_scores_codex":[0.9985212,0.00008927874,0.0001739326,0.0003979517,0.0003157383,0.0005019187],"domain_scores_gemma":[0.9991771,0.00006396231,0.00002271244,0.0003998998,0.0001932134,0.0001430869],"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":[0.00009817295,0.00009779498,0.0001100792,0.00003893734,0.00002034485,8.838093e-7,0.00007846,0.002121411,0.981299,0.000322929,0.001915893,0.01389608],"study_design_scores_gemma":[0.0009077748,0.001140851,0.001019513,0.0000211764,0.00001139078,0.00001592822,0.0001885537,0.02027305,0.8516551,0.0001446469,0.1243553,0.0002666345],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9369807,0.0003312716,0.06070433,0.0002074325,0.0001503829,0.0003471533,0.00002300859,0.00002935754,0.001226362],"genre_scores_gemma":[0.9955981,0.00003677694,0.002853789,0.00005172839,0.000632617,0.00005849184,0.0000867834,0.00004770638,0.0006339432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1296439,"threshold_uncertainty_score":0.5257318,"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."}}