{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002193228,0.0001591033,0.0002379118,0.00011537,0.00005938787,0.00001716904,0.0002805162,0.0001561959,0.0007956049],"category_scores_gemma":[0.00007946674,0.000134657,0.0001032524,0.0003381982,0.0006087776,0.000117938,0.00008226895,0.00005768944,0.0002219997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001591883,"about_ca_system_score_gemma":0.00003944305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007088613,"about_ca_topic_score_gemma":0.000003117046,"domain_scores_codex":[0.998832,0.00005193318,0.0004381072,0.0002534682,0.0002168511,0.0002076712],"domain_scores_gemma":[0.9991864,0.00004556037,0.0002853184,0.0004036713,0.00003289353,0.00004613124],"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":[0.00009968513,0.00007196486,0.007624644,0.00001251787,0.00002420004,3.993452e-7,0.0001281398,0.00001290264,0.9768754,0.00005378803,0.0135643,0.001532051],"study_design_scores_gemma":[0.00033669,0.000817481,0.007867367,0.00002912497,0.0000127325,0.000003303424,0.00008354692,0.00009344679,0.9887829,0.00001707835,0.001829617,0.0001267377],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975364,0.000237475,0.0004061731,0.00001798064,0.0003611524,0.0002464286,0.00008555829,0.0000574846,0.001051412],"genre_scores_gemma":[0.9992535,0.00030837,0.0002532376,0.000008330901,0.0000674171,0.000004145748,0.00003150168,0.0000147389,0.00005882998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01190747,"threshold_uncertainty_score":0.8711316,"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."}}