{"id":"W2888631035","doi":"10.1063/1.5025359","title":"Impact of bacterial streamers on biofouling of microfluidic filtration systems","year":2018,"lang":"en","type":"article","venue":"Biomicrofluidics","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Clogging; Filtration (mathematics); Biofouling; Microfluidics; Permeation; Fouling; Membrane; Materials science; Membrane fouling; Chemical engineering; Environmental engineering; Nanotechnology; Environmental science; Chemistry; Engineering","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":[0.0004059788,0.0005237805,0.0004755673,0.0002481376,0.0004241576,0.0007389741,0.0002119351,0.0005246373,0.0006152174],"category_scores_gemma":[0.0009525982,0.0001694568,0.0003209062,0.0001483375,0.000448515,0.0006412437,0.0004540685,0.0004274217,0.000138581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004539501,"about_ca_system_score_gemma":0.0003422057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007272834,"about_ca_topic_score_gemma":0.0005309084,"domain_scores_codex":[0.999571,0.00007282366,0.00003223029,0.00006523315,0.0001411644,0.0001175961],"domain_scores_gemma":[0.9991667,0.0004263322,0.0002541044,0.00002304069,0.0000785785,0.0000512439],"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":[0.00009062694,0.00002914486,0.0004863787,0.00008995426,0.000008859552,0.00008880399,0.00004142151,0.001213722,0.9955551,0.00009840033,0.00002637993,0.002271071],"study_design_scores_gemma":[0.000006720771,0.0002724337,0.001109904,0.000005626886,0.000007814469,0.0000360438,0.00001877037,0.002423298,0.9957417,0.00004912454,0.0003222064,0.000006235456],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944832,0.00117201,0.003292919,0.0001127607,0.00002401955,0.00003731026,0.00008174661,0.00007226488,0.0007236353],"genre_scores_gemma":[0.996974,0.0006226892,0.001923678,0.00004723544,0.00001317944,0.00001934935,0.00005108289,0.000009430714,0.0003393125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007389741,"threshold_uncertainty_score":0.003293633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01911170540555442,"score_gpt":0.2737161456201347,"score_spread":0.2546044402145803,"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."}}