{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008649231,0.000100081,0.0001540321,0.00002222968,0.0001438336,0.00002107515,0.000301406,0.00008512109,0.001523108],"category_scores_gemma":[0.00005255205,0.00008783147,0.00005507431,0.00001963046,0.0002302303,0.0001067511,0.0002783624,0.00009545397,0.0001503184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005060372,"about_ca_system_score_gemma":0.000004497826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006356254,"about_ca_topic_score_gemma":0.00002870205,"domain_scores_codex":[0.9993932,0.00001737049,0.0001606235,0.0001912531,0.00003049808,0.0002070011],"domain_scores_gemma":[0.999427,0.00003126558,0.0001238938,0.0003676408,0.000005660817,0.00004460259],"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":[0.00000478441,0.00003047111,0.001047321,0.000004188448,0.00001221413,0.000002566669,0.00005389202,0.00008824805,0.9968048,0.00006275069,0.000007260547,0.001881527],"study_design_scores_gemma":[0.0003654777,0.0001560067,0.3229567,0.00004682091,0.00006933846,0.0001501497,0.00004376043,0.001016284,0.6321038,0.0001541021,0.04253726,0.0004003384],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967531,0.00003457437,0.001290926,0.000154163,0.0003071772,0.0001001835,0.00002094852,0.00001424029,0.001324672],"genre_scores_gemma":[0.9986927,0.0000246234,0.001076716,0.00002942214,0.00004209028,0.000005096007,0.000002195496,0.00001049246,0.0001166781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.364701,"threshold_uncertainty_score":0.9993896,"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."}}