{"id":"W2059210917","doi":"10.1074/jbc.m110.185744","title":"Selective Sorting of Cargo Proteins into Bacterial Membrane Vesicles","year":2010,"lang":"en","type":"article","venue":"Journal of Biological Chemistry","topic":"Bacterial Infections and Vaccines","field":"Immunology and Microbiology","cited_by":330,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Medical Research Council; Natural Sciences and Engineering Research Council of Canada; Alberta Glycomics Centre; Fondation pour la Recherche Médicale; University of Alberta","keywords":"Bacterial outer membrane; Virulence; Vesicle; Cell biology; Porphyromonas gingivalis; Biology; Membrane protein; Cell membrane; Pathogen; Lipopolysaccharide; Membrane; Protein targeting; Microbiology; Bacteria; Biochemistry; Gene; Immunology; Escherichia coli; Genetics","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":[0.0002580485,0.0002582353,0.0003297071,0.0001842555,0.0002394071,0.0006436185,0.0001756916,0.0003212191,0.0004879883],"category_scores_gemma":[0.0002904143,0.0001454411,0.0002329619,0.000139098,0.0002716672,0.000343034,0.0005015977,0.0003227637,0.0005135038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004227323,"about_ca_system_score_gemma":0.0003175597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003700002,"about_ca_topic_score_gemma":0.0004638636,"domain_scores_codex":[0.9997851,0.00003337758,0.00001431581,0.00004768668,0.00005953046,0.00006010268],"domain_scores_gemma":[0.9998792,0.00002949166,0.00002599406,0.00002235796,0.00001863235,0.00002429419],"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":[0.00003916446,0.000005030737,0.0001622248,0.00002480635,0.000002581427,0.00003596267,0.00001769162,0.00005323065,0.9975287,0.0004842208,0.00003027229,0.001616099],"study_design_scores_gemma":[0.000003530927,0.0000431413,0.0006163963,0.000003478878,0.000003503426,0.0001262855,0.00001897354,0.0006164616,0.9973117,0.0001008982,0.001152803,0.000002778967],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826316,0.00122716,0.0140172,0.0001187991,0.00003392666,0.00003683901,0.0001151029,0.0001218902,0.001697427],"genre_scores_gemma":[0.9886246,0.0007532923,0.007923317,0.00006679957,0.000008795418,0.00002648391,0.0001689125,0.0000405909,0.002387139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006436185,"threshold_uncertainty_score":0.003067136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01274107132099318,"score_gpt":0.2449767410145064,"score_spread":0.2322356696935132,"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."}}