{"id":"W4408386007","doi":"10.1002/cjce.25664","title":"Analytical modelling of the permeability of filter media exhibiting a bimodal fibre diameter distribution—Beyond empirical models","year":2025,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Aerosol Filtration and Electrostatic Precipitation","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Université Grenoble Alpes","keywords":"Permeability (electromagnetism); Materials science; Distribution (mathematics); Filter (signal processing); Mathematics; Computer science; Chemistry; Mathematical analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002974295,0.0001154013,0.0002383278,0.00006908606,0.00004153175,0.00002134161,0.0002557186,0.00008824757,0.000016423],"category_scores_gemma":[0.0003388827,0.00008060098,0.0001599906,0.0003148548,0.0001047632,0.0001122338,0.00001513815,0.0003814223,2.209496e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001992637,"about_ca_system_score_gemma":0.0002368444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007745897,"about_ca_topic_score_gemma":0.00004054546,"domain_scores_codex":[0.9989637,0.00002310796,0.0005261606,0.00007157246,0.0001922784,0.0002232044],"domain_scores_gemma":[0.9991767,0.0002876733,0.00007685798,0.0001691429,0.0001514647,0.0001380956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007993837,0.000005350079,0.0002250933,0.00006860826,0.00005288989,7.874541e-7,0.0006895636,0.9823875,0.01452964,0.001550675,0.0002847734,0.0001971274],"study_design_scores_gemma":[0.0001556457,0.000007584948,0.0002649198,0.0001189051,0.00004474472,0.000009544659,0.00002462528,0.9167689,0.08010847,0.002401387,0.00002227078,0.00007300726],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7885237,0.0001440389,0.2103487,0.0005654343,0.0001540261,0.00006401009,0.00004110998,0.00001010272,0.0001489339],"genre_scores_gemma":[0.9991063,0.000001863829,0.0007818567,0.00003590108,0.00005015713,0.000001543973,0.000006637655,0.00001166889,0.000004040296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2105827,"threshold_uncertainty_score":0.3286812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02031204793521822,"score_gpt":0.2140553388981008,"score_spread":0.1937432909628826,"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."}}