{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002835742,0.0001169961,0.0003446144,0.00002655409,0.00007851693,0.000009558771,0.0001701203,0.0003916003,0.001486595],"category_scores_gemma":[0.0004251048,0.00007619877,0.0001541794,0.00007187996,0.000154225,0.00005864193,0.000050496,0.0005450204,0.000008476798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001386642,"about_ca_system_score_gemma":0.00006650871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002171182,"about_ca_topic_score_gemma":0.000003685455,"domain_scores_codex":[0.9991494,0.00005207822,0.0005078673,0.0001143443,0.00001629738,0.0001599733],"domain_scores_gemma":[0.9990153,0.00009272611,0.0005357295,0.0001009458,0.0002264361,0.00002884168],"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":[0.0003013461,0.0001147615,0.004007861,0.00002463306,0.00009411763,0.000001306652,0.00005737832,3.713771e-7,0.9939492,0.00002345077,0.00007418043,0.001351361],"study_design_scores_gemma":[0.0006566953,0.0002493363,0.007123819,0.00002003003,0.00001742883,0.000228145,0.00005236251,1.799259e-7,0.9874832,0.000237116,0.003844413,0.00008724549],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985027,0.00011406,0.00001157156,0.0001113286,0.0006634728,0.00005775542,0.000006949661,0.00001288576,0.0005193026],"genre_scores_gemma":[0.9990454,0.00002547159,0.0002980711,0.000006936351,0.0005429001,0.00000287312,0.00001052609,0.000005288634,0.00006250229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006466003,"threshold_uncertainty_score":0.9994262,"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."}}