{"id":"W2069911766","doi":"10.1371/journal.pone.0102600","title":"Improving the Safety of Staphylococcus aureus Polyvalent Phages by Their Production on a Staphylococcus xylosus Strain","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Bacteriophages and microbial interactions","field":"Environmental Science","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cégep de Lévis; Agriculture and Agri-Food Canada; Ministère de l'Agriculture, des Pêcheries et de l'Alimentation; Université Laval","funders":"Agriculture and Agri-Food Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies; Public Health Agency; Public Health Agency of Canada; Novalait; Ministère de l'Agriculture, des Pêcheries et de l'Alimentation","keywords":"Staphylococcus aureus; Microbiology; Biology; Multilocus sequence typing; Staphylococcus xylosus; Strain (injury); Bacteriophage; Genome; Siphoviridae; Staphylococcus; Genetics; Bacteria; Escherichia coli; Gene; Genotype","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":[0.0003244465,0.0001911751,0.0002090849,0.00003252736,0.0002196742,0.00003433416,0.0002867994,0.00006024166,0.0008764922],"category_scores_gemma":[0.00009080301,0.000132149,0.00008561217,0.0001546762,0.0002038593,0.0001590503,0.0001225933,0.0002446805,0.00008822648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001269765,"about_ca_system_score_gemma":0.000008506679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003959801,"about_ca_topic_score_gemma":0.0001442008,"domain_scores_codex":[0.9986545,0.0001243739,0.0002946709,0.0003673386,0.0002644298,0.0002946781],"domain_scores_gemma":[0.9991098,0.0000816984,0.0002143179,0.000501913,0.00002093575,0.00007130959],"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":[0.00006688471,0.0009256667,0.0003737126,0.00002694168,0.00006468421,2.808635e-7,0.0003376455,0.0000820584,0.9847292,0.00001922532,0.001146682,0.01222702],"study_design_scores_gemma":[0.0003129667,0.0004341102,0.02314787,0.00008715373,0.00006945281,8.354057e-7,0.0002506294,0.0004102481,0.9716543,0.00005041141,0.003363073,0.000218922],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959712,0.00005380097,0.000202976,0.001136425,0.000137983,0.0006010939,0.0002980878,0.00004930612,0.001549145],"genre_scores_gemma":[0.9981044,0.00004471386,0.0002847498,0.0002254955,0.0001574287,0.0000390741,0.00002334603,0.00002366452,0.001097144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02277416,"threshold_uncertainty_score":0.9596975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01492393891088025,"score_gpt":0.201491848731773,"score_spread":0.1865679098208927,"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."}}