{"id":"W4313260498","doi":"10.3390/fermentation9010014","title":"A Toolkit for Effective and Successive Genome Engineering of Escherichia coli","year":2022,"lang":"en","type":"article","venue":"Fermentation","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Recombineering; CRISPR; Genome engineering; Transposable element; Biology; Genome editing; Plasmid; Transposon mutagenesis; Genome; Cas9; Genetics; Escherichia coli; Gene; Computational 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":[0.000580475,0.0008294687,0.0008085126,0.0008943391,0.0004078255,0.0006517134,0.0008509175,0.0005611291,0.0007933763],"category_scores_gemma":[0.000762141,0.0005912723,0.0007140763,0.0005771409,0.0004036374,0.0004424225,0.001741262,0.001520541,0.00162768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003612789,"about_ca_system_score_gemma":0.0005548968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007180024,"about_ca_topic_score_gemma":0.0009740071,"domain_scores_codex":[0.9990935,0.0001756312,0.0001158458,0.0001350009,0.0003831903,0.00009687238],"domain_scores_gemma":[0.9997109,0.00005454108,0.00005306016,0.00008925961,0.00004007082,0.00005228973],"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":[0.00006484953,0.00005670794,0.0002707713,0.0002966499,0.00002490206,0.0002672979,0.0001129564,0.001037666,0.9736109,0.002500281,0.0005754699,0.02118148],"study_design_scores_gemma":[0.00004297389,0.0003219561,0.001573312,0.0001329983,0.00006076106,0.001722504,0.00007840707,0.008520053,0.9028223,0.001176482,0.08346291,0.00008530304],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1466089,0.003258365,0.8310611,0.0004594672,0.0002842983,0.0008039849,0.001850429,0.01077981,0.004893781],"genre_scores_gemma":[0.2548269,0.004974261,0.7271152,0.0001615287,0.00002775183,0.00102591,0.003726074,0.0009319,0.007210484],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0008943391,"threshold_uncertainty_score":0.003069878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003693109218057356,"score_gpt":0.2665740619006481,"score_spread":0.2628809526825907,"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."}}