{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001660484,0.0002524836,0.0002259782,0.0004514223,0.0002113799,0.0003556257,0.0001277754,0.0002358658,0.0003384863],"category_scores_gemma":[0.0002992578,0.0001099417,0.0002224323,0.00027506,0.0001386196,0.0003056343,0.0003359066,0.0002592749,0.0001800412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001403192,"about_ca_system_score_gemma":0.0002114236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009845626,"about_ca_topic_score_gemma":0.001030291,"domain_scores_codex":[0.9998796,0.00001946015,0.000009234202,0.00002631269,0.0000415506,0.00002382485],"domain_scores_gemma":[0.9998877,0.00002778473,0.00002685935,0.000005927989,0.00003146976,0.00002024652],"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":[0.00004671034,0.000006944077,0.001527717,0.00003199773,0.000005799593,0.00004257951,0.00007338594,0.00003452962,0.9972222,0.0000303083,0.00001360321,0.0009642317],"study_design_scores_gemma":[0.00001035776,0.0003740401,0.261542,0.00004336452,0.00008164641,0.001143018,0.0008297258,0.002704993,0.7303434,0.0002710908,0.002613473,0.00004297145],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976801,0.0005897727,0.0009946969,0.00002998745,0.000004479917,0.00001039122,0.0003264996,0.000008367352,0.0003555586],"genre_scores_gemma":[0.9940761,0.0008173791,0.003238018,0.00003661768,0.000005940992,0.00003188719,0.001032323,0.00001421383,0.0007473534],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009845626,"threshold_uncertainty_score":0.001957655,"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."}}