{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003442614,0.0004984494,0.0004577363,0.0003873543,0.000153623,0.0006290873,0.0002569822,0.0002904767,0.0007899134],"category_scores_gemma":[0.0004698914,0.0001532855,0.0003410401,0.0003497701,0.0001827821,0.0002031725,0.000498915,0.0003898965,0.0003704143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002309291,"about_ca_system_score_gemma":0.0002227706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007002195,"about_ca_topic_score_gemma":0.0007794292,"domain_scores_codex":[0.999431,0.0001375112,0.00005393011,0.00010209,0.0001908096,0.00008458455],"domain_scores_gemma":[0.9996395,0.00009833222,0.00009176566,0.00004289381,0.00006055866,0.00006695113],"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":[0.00004901956,0.00002331541,0.0003126582,0.00001886005,0.000003932041,0.00001942975,0.00001487919,0.00006217194,0.9981965,0.00001013121,0.00001027212,0.001278781],"study_design_scores_gemma":[0.000006525954,0.0005901618,0.004854923,0.00001163305,0.00002976456,0.0001619825,0.00004899384,0.0006232706,0.9929494,0.00001315298,0.0007047328,0.000005593807],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973421,0.0002567905,0.001853394,0.0000256529,0.000007576064,0.00002129728,0.00008029136,0.00002657645,0.0003863907],"genre_scores_gemma":[0.9908772,0.0004217954,0.006128313,0.00003306366,0.000009313414,0.00003050724,0.0005816214,0.00005089412,0.001867216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007899134,"threshold_uncertainty_score":0.002642512,"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."}}