{"id":"W2123954468","doi":"10.1093/nar/gku628","title":"CRISPR-Cas: an efficient tool for genome engineering of virulent bacteriophages","year":2014,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":181,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Biology; CRISPR; Virulence; Genome; Bacteriophage; Genome engineering; Cas9; Genetics; Genome editing; Gene; Computational biology; Synthetic biology; Escherichia coli","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000647597,0.001012398,0.001046624,0.001240008,0.0004760242,0.000894914,0.001162918,0.00084674,0.002723598],"category_scores_gemma":[0.0006598086,0.000784009,0.0007412406,0.0006363704,0.0004762307,0.0004002044,0.0008665039,0.001627749,0.00237343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005185565,"about_ca_system_score_gemma":0.0004198918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004937522,"about_ca_topic_score_gemma":0.0007977294,"domain_scores_codex":[0.9991554,0.0001382853,0.0001033301,0.0001601918,0.000376813,0.00006592648],"domain_scores_gemma":[0.9997157,0.00009765963,0.00006157207,0.00006255905,0.00002523274,0.00003708396],"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":[0.0001683864,0.00004878589,0.00019474,0.000270798,0.00004081749,0.0002218217,0.00004083716,0.001026322,0.9773185,0.001112366,0.001040534,0.0185162],"study_design_scores_gemma":[0.00005154758,0.0001608881,0.0007481337,0.00003209584,0.00004745421,0.0007409897,0.00001894012,0.007658704,0.959985,0.0004794548,0.03002999,0.00004688619],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1665022,0.004855733,0.7944579,0.0004986241,0.0004170453,0.001020766,0.005437888,0.01947769,0.007332179],"genre_scores_gemma":[0.3807817,0.003776242,0.5903438,0.0001971752,0.00007446087,0.001056122,0.006190279,0.001914043,0.01566601],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002723598,"threshold_uncertainty_score":0.009111345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01871726419906721,"score_gpt":0.3496555636849159,"score_spread":0.3309382994858487,"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."}}