{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001595178,0.0002278175,0.00012323,0.000173521,0.0002131077,0.000282404,0.0002071852,0.0003128344,0.0007016393],"category_scores_gemma":[0.0001709305,0.0001504035,0.0001469057,0.0001161509,0.0002433124,0.0003869589,0.0002027258,0.0005924358,0.0002880775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002183334,"about_ca_system_score_gemma":0.000112937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000772197,"about_ca_topic_score_gemma":0.001032592,"domain_scores_codex":[0.9999528,0.00000827873,0.000003367991,0.000007155637,0.00001673101,0.00001178638],"domain_scores_gemma":[0.9998893,0.00004086119,0.00001898382,0.00001178586,0.00002137129,0.00001783735],"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":[0.00001197348,0.000004536905,0.00007311314,0.00001991023,0.000001712688,0.00006617695,0.00002309775,0.0000677989,0.9991089,0.00007967298,0.00002928298,0.0005137522],"study_design_scores_gemma":[0.00001909397,0.0001365922,0.01068236,0.00002848163,0.0000184904,0.001490845,0.0001427571,0.005049326,0.9784746,0.0003513741,0.003588426,0.00001770433],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9772996,0.001515099,0.01759188,0.0003762024,0.00002423179,0.0000299629,0.0002756272,0.0001928033,0.002694616],"genre_scores_gemma":[0.968451,0.001849629,0.02744162,0.0001070049,0.00001243714,0.00002865302,0.0002661177,0.00007517212,0.00176846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000772197,"threshold_uncertainty_score":0.002347231,"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."}}