{"id":"W2603578729","doi":"10.1021/acssynbio.6b00388","title":"Genome Engineering of Virulent Lactococcal Phages Using CRISPR-Cas9","year":2017,"lang":"en","type":"article","venue":"ACS Synthetic Biology","topic":"Bacteriophages and microbial interactions","field":"Environmental Science","cited_by":99,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"CRISPR; Lytic cycle; Biology; Virulence; Genome; Genome editing; Cas9; Bacteriophage; Temperateness; Lactococcus lactis; Gene; Plasmid; Phagemid; Computational biology; Genetics; Metagenomics; Bacteria; Virus; 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":[0.0003712337,0.0005183383,0.0004396981,0.0003850262,0.0002662569,0.0005513979,0.0005624166,0.0004806515,0.0009830592],"category_scores_gemma":[0.0003568105,0.0003225386,0.0004908249,0.0002336773,0.0003335013,0.0002272179,0.0006482663,0.0009706981,0.000498243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004952535,"about_ca_system_score_gemma":0.0004147303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009170569,"about_ca_topic_score_gemma":0.001409211,"domain_scores_codex":[0.9996073,0.0000601109,0.00005685593,0.00008210522,0.0001342842,0.00005940906],"domain_scores_gemma":[0.9998164,0.00004482213,0.00005236402,0.00002875667,0.00002017723,0.00003766707],"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":[0.00006246613,0.00003105641,0.0001691378,0.00007844751,0.00001060415,0.0001404422,0.00004758345,0.0004060753,0.9953991,0.000523157,0.00009934822,0.003032747],"study_design_scores_gemma":[0.00001798454,0.0001470733,0.0009497991,0.0000140203,0.00002124052,0.000252349,0.0000419767,0.004246175,0.9851736,0.0001759366,0.008939103,0.00002071539],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8821558,0.001612698,0.1049315,0.0003470471,0.0002567593,0.0004846926,0.001607373,0.001681918,0.006922353],"genre_scores_gemma":[0.9228652,0.0009552236,0.06735836,0.0001033104,0.00001485758,0.0001889849,0.001461553,0.0002366695,0.006815977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009830592,"threshold_uncertainty_score":0.003593326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02186631468871479,"score_gpt":0.2843683007521091,"score_spread":0.2625019860633943,"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."}}