{"id":"W1959698936","doi":"10.1002/bit.25651","title":"Microfluidic wound model for studying the behaviors of <i>Pseudomonas aeruginosa</i> in polymicrobial biofilms","year":2015,"lang":"en","type":"article","venue":"Biotechnology and Bioengineering","topic":"Bacterial biofilms and quorum sensing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Research, Innovation and Science","keywords":"Biofilm; Pseudomonas aeruginosa; Opportunistic pathogen; Microbiology; Biology; Microfluidics; Fluorescent staining; Chemotaxis; Extracellular matrix; Pathogen; Bacteria; Nanotechnology; Cell biology; Staining; Materials 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":[0.0002124259,0.0001502898,0.0001715956,0.00009398437,0.00004893121,0.00001223768,0.0001481714,0.0003720698,2.440011e-7],"category_scores_gemma":[0.00002744302,0.0001205579,0.00004787037,0.0001179751,0.0001704923,0.000004705132,0.0001313249,0.000112808,2.805956e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001104843,"about_ca_system_score_gemma":0.00004164765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003117376,"about_ca_topic_score_gemma":0.00002223386,"domain_scores_codex":[0.9992279,0.00001122504,0.0002161564,0.0002470718,0.00004089138,0.0002568007],"domain_scores_gemma":[0.9996523,0.000008638742,0.00005520573,0.0002140403,0.00003096862,0.00003882524],"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":[0.00006957141,0.00002646465,0.000791989,0.00001419361,0.0000196808,0.000001011682,0.00006009729,0.00006315721,0.9976342,0.0001942011,0.0001752047,0.0009501765],"study_design_scores_gemma":[0.000723097,0.0001787207,0.0002006907,0.00001884834,0.00002207535,0.00003167587,0.0001578456,0.001154012,0.9954503,0.00001088645,0.001885815,0.0001660112],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938352,0.003606258,0.00157172,0.0004811021,0.0001934598,0.0002555426,0.00002815215,0.00002283269,0.000005741412],"genre_scores_gemma":[0.9973973,0.0004972494,0.00191528,0.00005667093,0.00006092459,0.00001149653,0.00002111038,0.00001733348,0.00002262839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003562115,"threshold_uncertainty_score":0.4916208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0186739400700284,"score_gpt":0.2312570617691558,"score_spread":0.2125831216991274,"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."}}