{"id":"W3027878579","doi":"10.1002/cjce.23815","title":"Impact of multilayering on the filtration performance of clean air filter media","year":2020,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Aerosol Filtration and Electrostatic Precipitation","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"FPInnovations; Polytechnique Montréal","funders":"","keywords":"Filter (signal processing); Pressure drop; Filtration (mathematics); Porous medium; Materials science; Flat panel; Lattice Boltzmann methods; Computer science; Process engineering; Environmental science; Mechanics; Composite material; Engineering; Mathematics; Computer graphics (images); Computer vision; Porosity; Physics; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0001322789,0.00008960871,0.0001388628,0.00004433224,0.00002125288,0.000009824423,0.0001778332,0.00003791314,0.00004329483],"category_scores_gemma":[0.0002356522,0.00005761936,0.00008504066,0.0001475209,0.00002953926,0.00009088573,0.00000316504,0.0002616217,0.000001650015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008362943,"about_ca_system_score_gemma":0.00009450786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005413125,"about_ca_topic_score_gemma":0.00002367874,"domain_scores_codex":[0.9993837,0.000008696629,0.0002934696,0.00003672491,0.0001350454,0.0001423373],"domain_scores_gemma":[0.9994756,0.0001494227,0.00007784996,0.0000807117,0.00006575124,0.000150693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001896654,0.000002134086,0.0001649732,0.00003414609,0.00004665789,9.129355e-7,0.002175917,0.6334785,0.3627243,0.0001075909,0.000392013,0.0008539022],"study_design_scores_gemma":[0.0001654701,0.0001094835,0.003370953,0.00007442701,0.00001381345,0.000009470388,0.00002986072,0.3981113,0.5980088,0.000009361849,0.00002078799,0.00007627882],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980202,0.00003374604,0.00136671,0.0003574032,0.00007482352,0.00005094167,0.000007953903,0.00001000023,0.00007820116],"genre_scores_gemma":[0.9996207,0.000004065206,0.0002076454,0.00004996499,0.00009832239,0.000001105995,0.00000232768,0.0000151469,6.924146e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2353672,"threshold_uncertainty_score":0.2349649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01396928609592767,"score_gpt":0.196622630313123,"score_spread":0.1826533442171954,"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."}}