{"id":"W3092862293","doi":"10.1021/acsomega.0c03508","title":"Phage-Assisted Continuous Evolution (PACE): A Guide Focused on Evolving Protein–DNA Interactions","year":2020,"lang":"en","type":"review","venue":"ACS Omega","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; University of Toronto","keywords":"Pace; Selection (genetic algorithm); Directed Molecular Evolution; Directed evolution; Computer science; Computational biology; Biology; Genetics; Artificial intelligence; Gene","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001193194,0.0004669284,0.0007808012,0.0001310372,0.0001113548,0.00006866499,0.0003308062,0.0003251413,0.00001233103],"category_scores_gemma":[0.0003523185,0.000440325,0.0004265441,0.0002538439,0.0000320187,0.000005239559,0.0001660761,0.0003722089,0.00009941422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001369047,"about_ca_system_score_gemma":0.0002027374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001951324,"about_ca_topic_score_gemma":0.00002553545,"domain_scores_codex":[0.9982263,0.00009637636,0.0005178029,0.0006388698,0.0001770366,0.0003435564],"domain_scores_gemma":[0.998913,0.00003264678,0.0002297174,0.0005941741,0.00009012145,0.0001403573],"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":[0.00002348059,0.0001011232,0.000002058304,0.002501416,0.0004727062,0.00003877647,0.0000292045,0.00001202787,0.02563847,0.00006032944,0.01671347,0.9544069],"study_design_scores_gemma":[0.0002800949,0.0002296387,0.000008951302,0.002188999,0.0002549523,0.00005679272,0.00001469977,0.00001842384,0.002517367,0.00000536174,0.9939869,0.0004378054],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002360092,0.9901596,0.005280924,0.00007213846,0.0004338984,0.001048303,0.00006877758,0.00007928249,0.002621097],"genre_scores_gemma":[0.01952192,0.9702423,0.0016002,0.000080946,0.00120784,0.0005346742,0.0006528528,0.0001936738,0.005965583],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9772735,"threshold_uncertainty_score":0.9998049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01912615642350137,"score_gpt":0.3333159595647948,"score_spread":0.3141898031412934,"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."}}