{"id":"W4319079614","doi":"10.1099/acmi.0.000470.v3","title":"Investigating Klebsiella pneumoniae biofilm preservation for scanning electron microscopy","year":2023,"lang":"en","type":"article","venue":"Access Microbiology","topic":"Bacterial biofilms and quorum sensing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institutes of Health; National Institute of Allergy and Infectious Diseases; Queen's University; Queen's University Belfast; National Taiwan University Hospital; University of Texas at Austin","keywords":"Biofilm; Scanning electron microscope; Klebsiella pneumoniae; Microbiology; Extracellular polymeric substance; Microscopy; Chemistry; Materials science; Biology; Bacteria; Escherichia coli; Medicine; Pathology; Biochemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002671737,0.0002044131,0.0002037671,0.00009751596,0.0002203894,0.000092517,0.0003357605,0.0002975678,0.000007313522],"category_scores_gemma":[0.000167913,0.0002039978,0.00009266946,0.0002533184,0.0001139023,0.00001818245,0.0002679873,0.00009711701,0.00002143871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001720513,"about_ca_system_score_gemma":0.0000862339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005754852,"about_ca_topic_score_gemma":0.00005878508,"domain_scores_codex":[0.9985214,0.0000672977,0.0002855605,0.0005204631,0.00002806058,0.0005772393],"domain_scores_gemma":[0.9993513,0.00004106394,0.0001578461,0.0002817263,0.0001059926,0.00006208219],"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":[0.00003510203,0.000009544532,0.003761756,0.00003028772,0.00003646429,5.603428e-7,0.00002682268,0.00003553575,0.9847481,0.0000613869,0.01065867,0.0005958194],"study_design_scores_gemma":[0.0003975653,0.0001983643,0.001556519,0.00002086124,0.00001354922,0.00001655845,0.00001700324,0.00007580989,0.921593,0.00007820793,0.07579555,0.0002369705],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975407,0.0001834933,0.0001850383,0.0009146519,0.0005235842,0.0003666086,0.00008105426,0.00007522801,0.0001297113],"genre_scores_gemma":[0.9933722,0.0001026373,0.001396134,0.0009582637,0.0005358981,0.00004946122,0.002781505,0.00005159816,0.0007523292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06513689,"threshold_uncertainty_score":0.8318789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0247612017982017,"score_gpt":0.3152952564850187,"score_spread":0.290534054686817,"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."}}