{"id":"W2978243962","doi":"10.1038/s41467-019-12448-3","title":"Efficient inter-species conjugative transfer of a CRISPR nuclease for targeted bacterial killing","year":2019,"lang":"en","type":"article","venue":"Nature Communications","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":139,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Canadian Institutes of Health Research; Ontario Genomics","keywords":"CRISPR; Plasmid; Bacterial conjugation; Salmonella enterica; Biology; Nuclease; Escherichia coli; Bacteria; Cas9; Computational biology; Genetics; Gene; Microbiology","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":[0.00008249383,0.00008896519,0.0001163886,0.00003388586,0.00004843181,0.00000835976,0.0003625505,0.0001587279,0.00004249926],"category_scores_gemma":[0.00006407123,0.00008703509,0.00009866359,0.00006210172,0.00005894731,0.0000011724,0.00009269396,0.0001547393,0.000002582648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008107081,"about_ca_system_score_gemma":0.00002611849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002564284,"about_ca_topic_score_gemma":0.00002690287,"domain_scores_codex":[0.9995198,0.00002783904,0.0001596805,0.0001359884,0.0000499747,0.0001066976],"domain_scores_gemma":[0.9990416,0.00005061598,0.00002797795,0.0006956718,0.0001526494,0.00003145775],"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":[0.00006780498,0.00006423431,0.0001507826,0.00002180044,0.0000476718,1.825599e-8,0.0002313156,0.0005913603,0.9964818,0.001532814,0.0006369165,0.0001735301],"study_design_scores_gemma":[0.000889821,0.0001894118,0.001511232,0.00003345652,0.00003133692,0.000001409738,0.0003623595,0.004411943,0.7971909,0.00001694777,0.1951751,0.0001861441],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9567313,0.002888334,0.03772388,0.0005333422,0.0003561237,0.0005298263,0.0002274272,0.00001589402,0.0009939028],"genre_scores_gemma":[0.9955745,0.0001067162,0.003714671,0.00005132771,0.00005188579,0.00002765153,0.0002906998,0.00001607236,0.0001665289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1992909,"threshold_uncertainty_score":0.3549188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009990487301903928,"score_gpt":0.2995847502046647,"score_spread":0.2895942629027607,"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."}}