{"id":"W4413113454","doi":"10.1093/nar/gkaf746","title":"Unlocking genetic potential: harnessing phage for targeted mutagenesis in phage-assisted evolution.","year":2025,"lang":"en","type":"article","venue":"PubMed","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Cancer Research Society","keywords":"Biology; Mutagenesis; Genetics; Computational biology; Bacteriophage; Phage display; DNA Transposable Elements; Mutation; Genome; Gene; Transposable element; Escherichia coli","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":[0.0006847323,0.000605681,0.0003674715,0.000489705,0.0001965798,0.0007594335,0.000459619,0.000644643,0.0005421377],"category_scores_gemma":[0.0005630004,0.000289114,0.0003923115,0.0003173478,0.0005719927,0.0006285905,0.0009990922,0.00110792,0.0004515505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003079283,"about_ca_system_score_gemma":0.0001668172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001809427,"about_ca_topic_score_gemma":0.0003262171,"domain_scores_codex":[0.9996535,0.00008245507,0.00001721299,0.00005920022,0.0001452471,0.00004247311],"domain_scores_gemma":[0.9997857,0.00007900783,0.00004675,0.00002887665,0.00002718083,0.0000324838],"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":[0.00002739445,0.00002761637,0.0001876057,0.0001154471,0.00001164253,0.00007666313,0.00004669487,0.000374248,0.983678,0.001943409,0.0001669236,0.01334428],"study_design_scores_gemma":[0.00001941728,0.0003749094,0.0008933638,0.00003433138,0.00003451703,0.0006981432,0.000039471,0.008072286,0.9692978,0.001025254,0.01948141,0.00002900584],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5337464,0.01596797,0.4380422,0.0009051497,0.0002815286,0.0003963431,0.0004433109,0.001882976,0.008334137],"genre_scores_gemma":[0.8271789,0.008085363,0.1569642,0.0003027712,0.00004667663,0.0002570764,0.0005767392,0.0002414155,0.006346831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007594335,"threshold_uncertainty_score":0.00362128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007494943820877007,"score_gpt":0.2602399774859234,"score_spread":0.2527450336650464,"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."}}