{"id":"W2136286909","doi":"10.1128/jb.187.22.7619-7630.2005","title":"High-Resolution Visualization of <i>Pseudomonas aeruginosa</i> PAO1 Biofilms by Freeze-Substitution Transmission Electron Microscopy","year":2005,"lang":"en","type":"article","venue":"Journal of Bacteriology","topic":"Bacterial biofilms and quorum sensing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":99,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; University of Guelph; Advanced Foods and Materials Network","keywords":"Biology; Pseudomonas aeruginosa; Biofilm; Microbiology; Electron microscope; Transmission electron microscopy; Substitution (logic); Pseudomonas; Visualization; Bacteria; Genetics; Materials science; Nanotechnology; Optics; Physics; Artificial intelligence; Computer science","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":[0.0003082018,0.000187318,0.0003532108,0.00009786942,0.00007238986,0.00001633557,0.0001512026,0.0003515339,0.00003321861],"category_scores_gemma":[0.00003732919,0.0001628615,0.0001569472,0.0000996223,0.0001308213,0.0000251954,0.0000277041,0.0001391029,0.000002678925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004180899,"about_ca_system_score_gemma":0.000112874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002914889,"about_ca_topic_score_gemma":0.000009255094,"domain_scores_codex":[0.9985403,0.0001610962,0.0006951439,0.0002105251,0.0001197013,0.0002732793],"domain_scores_gemma":[0.9988766,0.00001316676,0.0006473738,0.0001595362,0.0002087163,0.0000946019],"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":[0.0007459106,0.0001196348,0.000346961,0.00001543491,0.0000531457,0.000001513239,0.00002396682,0.00009635225,0.9931319,0.0001262417,0.001615467,0.00372348],"study_design_scores_gemma":[0.0009985676,0.001186967,0.001204392,0.00004080357,0.00004335639,0.0001424352,0.000006522499,0.00003465071,0.9305784,0.000009967957,0.06560142,0.0001525054],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905522,0.001343879,0.00714545,0.0003588899,0.0004362939,0.00009837927,0.00002391178,0.000006461943,0.00003453011],"genre_scores_gemma":[0.993023,0.001271103,0.004599472,0.0001903534,0.0006089795,9.833168e-7,0.0002394617,0.0000197498,0.00004685669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06398596,"threshold_uncertainty_score":0.6641298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005689733089363593,"score_gpt":0.246676361877493,"score_spread":0.2409866287881294,"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."}}