{"id":"W1978253111","doi":"10.1016/j.apm.2009.02.004","title":"2D transient filtration model for aluminum","year":2009,"lang":"en","type":"article","venue":"Applied Mathematical Modelling","topic":"Aerosol Filtration and Electrostatic Precipitation","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada; Université du Québec à Chicoutimi","keywords":"Mechanics; Filtration (mathematics); Pressure drop; Porosity; Filter (signal processing); Materials science; Parametric statistics; Deposition (geology); Mathematical model; Mathematics; Physics; Engineering; Composite material; Statistics; Geology","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":[0.000134754,0.0001464951,0.0001726858,0.00003724873,0.00007039823,0.00004008744,0.00007391682,0.0000817094,0.00001674545],"category_scores_gemma":[0.000007066174,0.0001471924,0.00005721701,0.00007207995,0.00001211025,0.0001046569,0.000001602598,0.00009060272,0.00002965405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003591326,"about_ca_system_score_gemma":0.00001206973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.518276e-8,"about_ca_topic_score_gemma":2.809732e-7,"domain_scores_codex":[0.9991208,0.000003186838,0.0003154279,0.000154805,0.0001483354,0.0002574063],"domain_scores_gemma":[0.9996633,0.00007592332,0.00002393973,0.00013538,0.00002956902,0.00007186535],"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":[0.00001016728,0.00002664017,8.983605e-9,0.0000442903,0.000005973293,5.787158e-8,0.001176815,0.7807437,0.01623258,0.1992731,0.0003570142,0.002129737],"study_design_scores_gemma":[0.0001979806,0.00002016154,2.393973e-7,0.000009832726,0.00001640397,7.190769e-7,0.00003125622,0.7230464,0.005767989,0.2707625,0.00002376847,0.0001227507],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008187604,0.00001650398,0.9795852,0.0001324528,0.00002682349,0.0005266549,0.000005449393,0.0003215369,0.01119775],"genre_scores_gemma":[0.7812688,0.000009270257,0.218323,0.0001407848,0.00003398856,0.00009897471,0.00003445994,0.00002090939,0.00006980091],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7730812,"threshold_uncertainty_score":0.6002333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02677665724822264,"score_gpt":0.2349684982908804,"score_spread":0.2081918410426578,"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."}}