{"id":"W1996876494","doi":"10.1128/aem.01567-08","title":"CO <sub>2</sub> Production as an Indicator of Biofilm Metabolism","year":2009,"lang":"en","type":"article","venue":"Applied and Environmental Microbiology","topic":"Bacterial biofilms and quorum sensing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biofilm; Carbon fibers; Chemistry; Extracellular polymeric substance; Environmental chemistry; Strain (injury); Microbiology; Bacteria; Biology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004100785,0.0006352161,0.0003585178,0.0007255168,0.0002503822,0.0003814377,0.0003087478,0.0006590394,0.0006875939],"category_scores_gemma":[0.0004189522,0.0001785813,0.0001638064,0.0007219418,0.0003381913,0.0003652225,0.0004497682,0.0005487676,0.0002290066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004217964,"about_ca_system_score_gemma":0.0002747586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001812718,"about_ca_topic_score_gemma":0.002368472,"domain_scores_codex":[0.9994352,0.0001084127,0.00002298711,0.0001095199,0.0002551237,0.00006874659],"domain_scores_gemma":[0.9996331,0.0001107695,0.00007851298,0.0000168295,0.0001027455,0.00005807875],"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":[0.0001016331,0.00002086396,0.003108253,0.00006160437,0.00000649877,0.00002849882,0.00001325782,0.00008283791,0.9949457,0.00003726238,0.00006097986,0.001532648],"study_design_scores_gemma":[0.000006064881,0.0004179755,0.04472376,0.00001071065,0.00003534472,0.0002578531,0.00008389079,0.005341221,0.9480343,0.0000756811,0.0009997436,0.00001332201],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.965229,0.008474954,0.02165285,0.0001897921,0.00008763132,0.000107314,0.001192961,0.0002156243,0.002849861],"genre_scores_gemma":[0.9792383,0.001542418,0.01748175,0.00007550141,0.00001779151,0.0001175704,0.0005340481,0.000028999,0.0009636024],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001812718,"threshold_uncertainty_score":0.003604293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003259879103714025,"score_gpt":0.1852021402880035,"score_spread":0.1819422611842894,"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."}}