{"id":"W2266021172","doi":"10.1021/acs.jproteome.5b00312","title":"Proteome Profiles of Outer Membrane Vesicles and Extracellular Matrix of <i>Pseudomonas aeruginosa</i> Biofilms","year":2015,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Bacterial biofilms and quorum sensing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":88,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Engineering and Physical Sciences Research Council; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Networks of Centres of Excellence of Canada; Royal Society of Chemistry; Advanced Foods and Materials Network","keywords":"Biofilm; Proteome; Bacterial outer membrane; Vesicle; Pseudomonas aeruginosa; Proteomics; Biology; Context (archaeology); Computational biology; Chemistry; Cell biology; Microbiology; Biochemistry; Membrane; Bacteria; Gene; Genetics; Escherichia coli","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":[0.002871939,0.0001566737,0.0004039611,0.0002479606,0.00005244222,0.0000381384,0.0002756937,0.0002135009,0.00001271915],"category_scores_gemma":[0.0003801997,0.0001205528,0.0001245099,0.0002290108,0.0003869957,0.0000233831,0.0002106665,0.0003229575,0.000002441204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001831444,"about_ca_system_score_gemma":0.00036359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004332875,"about_ca_topic_score_gemma":0.000002336269,"domain_scores_codex":[0.9977471,0.0003161105,0.000682994,0.0002214369,0.0006731244,0.0003592589],"domain_scores_gemma":[0.997875,0.00003304955,0.0004521793,0.0002886606,0.001115819,0.0002352365],"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":[0.0008331035,0.0001007592,0.000756748,0.0002442868,0.00007341357,0.00003188236,0.0001211569,0.000004300957,0.9962748,0.00007311897,0.0003175855,0.001168888],"study_design_scores_gemma":[0.001097247,0.001764575,0.0003877489,0.0001578222,0.00001637337,0.0002171643,0.0002300577,0.00001271977,0.9914712,0.00008344367,0.004438477,0.0001232266],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946401,0.003919887,0.00005832502,0.000565364,0.00009676491,0.0005819537,0.00002150979,0.000002559295,0.0001135145],"genre_scores_gemma":[0.9874882,0.0003435361,0.01123323,0.000005132244,0.0004532248,0.000008024305,0.000006993645,0.00002606689,0.0004356474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01117491,"threshold_uncertainty_score":0.4916001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04920536738005996,"score_gpt":0.3296123770436906,"score_spread":0.2804070096636306,"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."}}