{"id":"W2765982519","doi":"10.1371/journal.pone.0186920","title":"Identification of novel substrates of Shigella T3SA through analysis of its virulence plasmid-encoded secretome","year":2017,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Escherichia coli research studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Helmholtz-Zentrum für Umweltforschung; Ministère de l'Education Nationale, de l'Enseignement Superieur et de la Recherche; H2020 European Research Council; Howard Hughes Medical Institute; Agence Nationale de la Recherche; University of Ottawa; European Regional Development Fund; Deutsche Forschungsgemeinschaft","keywords":"Shigella flexneri; Shigella; Virulence; Biology; Microbiology; Plasmid; Effector; Yersinia enterocolitica; Salmonella enterica; Secretion; Escherichia coli; Enteropathogenic Escherichia coli; Antitoxin; Bacteria; Genetics; Gene; Toxin; Cell biology","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":[0.00008801011,0.0003537062,0.00028087,0.0002957196,0.0001300786,0.00034888,0.00009457302,0.0002773675,0.0004672862],"category_scores_gemma":[0.000198079,0.0001043864,0.0004197371,0.000457883,0.0001461535,0.0002804462,0.0001960377,0.0003000669,0.0003423509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001343946,"about_ca_system_score_gemma":0.0001420269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004143858,"about_ca_topic_score_gemma":0.0003617292,"domain_scores_codex":[0.9999521,0.00000415362,0.000005196939,0.00001136919,0.00001486884,0.00001224033],"domain_scores_gemma":[0.9997962,0.0000427242,0.00006848821,0.00001885298,0.00003583695,0.00003787523],"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":[0.0001615276,0.00001309023,0.003019389,0.0000340132,0.000006505421,0.000144916,0.00004900372,0.00004994384,0.9954824,0.00003128745,0.00001574865,0.0009920846],"study_design_scores_gemma":[0.00001716122,0.0004018712,0.1768753,0.00002594181,0.00007771541,0.002232395,0.000415803,0.003345069,0.8140826,0.0002838071,0.002216096,0.00002618642],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973889,0.0003673929,0.00130284,0.00003501524,0.000004614892,0.000008266345,0.0006513906,0.0000201335,0.0002215363],"genre_scores_gemma":[0.9931754,0.0005016675,0.003008566,0.00004515568,0.000009583622,0.00001986138,0.002650769,0.00002214472,0.000566837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004672862,"threshold_uncertainty_score":0.001563251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07919195440284671,"score_gpt":0.3211492291091622,"score_spread":0.2419572747063155,"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."}}