{"id":"W2327734145","doi":"10.1021/es505842v","title":"Role of Biofilm Roughness and Hydrodynamic Conditions in <i>Legionella pneumophila</i> Adhesion to and Detachment from Simulated Drinking Water Biofilms","year":2015,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Legionella and Acanthamoeba research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":128,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Institute of Biomedical Imaging and Bioengineering; Sun Yat-sen University; National Institutes of Health; U.S. Environmental Protection Agency","keywords":"Biofilm; Legionella pneumophila; Adhesion; Microbiology; Surface roughness; Surface finish; Flow velocity; Legionella; Materials science; Chemistry; Bacteria; Flow (mathematics); Biophysics; Composite material; Biology; Mechanics; Physics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001770404,0.000114257,0.0001299805,0.0002568692,0.00009379831,0.00001417443,0.0002315748,0.0001376338,0.000003631756],"category_scores_gemma":[0.00001439757,0.00009384778,0.00001416806,0.000238308,0.0009451695,0.00001458419,0.0006211887,0.00009160193,0.000009268745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005201061,"about_ca_system_score_gemma":0.00002262681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001068404,"about_ca_topic_score_gemma":0.0000305556,"domain_scores_codex":[0.9988763,0.00001860992,0.0001585606,0.00045579,0.0001816867,0.0003089968],"domain_scores_gemma":[0.9995981,0.000005289648,0.00003110008,0.0002336069,0.00000805216,0.0001238475],"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":[0.0000188869,0.00005275174,0.0691676,0.000001101091,0.000003433841,0.000003782406,0.0001216581,0.0002304749,0.9298258,0.00002161318,0.000003382295,0.0005494658],"study_design_scores_gemma":[0.0004287658,0.0002688539,0.01463048,0.00001109944,0.000004135938,0.00001483483,0.0006521418,0.000921818,0.9815751,0.0007062103,0.0006530795,0.0001334281],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989232,0.0002959093,0.00001198598,0.0004472428,0.00002751153,0.000198657,0.00001426055,0.00001015562,0.00007104336],"genre_scores_gemma":[0.9995731,0.0001168433,0.0001497479,0.00006271664,0.00001169163,0.0000108564,0.00004084515,0.00000823248,0.00002603314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05453712,"threshold_uncertainty_score":0.3827001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006423982773417904,"score_gpt":0.236938361751574,"score_spread":0.2305143789781561,"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."}}