{"id":"W2052468382","doi":"10.1016/j.powtec.2015.01.074","title":"The effect of electrostatic forces on filtration efficiency of granular filters","year":2015,"lang":"en","type":"article","venue":"Powder Technology","topic":"Aerosol Filtration and Electrostatic Precipitation","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Canada Foundation for Innovation","keywords":"Filtration (mathematics); Electrostatics; Range (aeronautics); Residence time (fluid dynamics); Chemistry; Materials science; Nanoparticle; Cross-flow filtration; Chromatography; Analytical Chemistry (journal); Chemical engineering; Membrane; Composite material; Nanotechnology","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":[0.0002265267,0.00009851492,0.0001533206,0.0001269278,0.00004008611,0.000006978962,0.0001474634,0.00008217207,0.000003633376],"category_scores_gemma":[0.0002535059,0.00007078634,0.00003175136,0.0003437704,0.0001105018,0.0000488292,0.0000069391,0.0001138979,0.000008568113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003157833,"about_ca_system_score_gemma":0.00001596947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003224886,"about_ca_topic_score_gemma":0.000007780703,"domain_scores_codex":[0.9993085,0.00003764518,0.0002385283,0.00008711426,0.000148255,0.0001799969],"domain_scores_gemma":[0.9994696,0.000191436,0.00006927583,0.0001960209,0.00005137834,0.00002226848],"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":[0.0003260435,0.00006664372,0.004880785,0.0002432559,0.0001286106,0.000002284206,0.001861545,0.02043963,0.8899485,0.03781974,0.007474224,0.03680871],"study_design_scores_gemma":[0.0005519093,0.001856976,0.0001985379,0.00001631666,0.00001809758,0.000004132297,0.0001380529,0.0150553,0.9788234,0.00299766,0.0002512027,0.00008844049],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9796577,0.0003413291,0.01791585,0.0003897788,0.0001492461,0.0002737831,0.000003827122,0.0001923033,0.001076157],"genre_scores_gemma":[0.9996721,0.00002694569,0.0002010806,0.00001256881,0.00000613181,0.00003590359,0.00001024054,0.0000121492,0.00002290226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08887485,"threshold_uncertainty_score":0.2886584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005892195174586792,"score_gpt":0.2221150564380192,"score_spread":0.2162228612634324,"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."}}