{"id":"W2283642720","doi":"10.4271/2007-01-1267","title":"A New Diesel Particulate Filter Using a Metal Foam Filter Combined with Electrostatic Precipitation Mechanism","year":2007,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Catalytic Processes in Materials Science","field":"Materials Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nickel Institute","funders":"","keywords":"Diesel particulate filter; Particulates; Mechanism (biology); Filter (signal processing); Materials science; Diesel fuel; Precipitation; Metal foam; Metal; Metallurgy; Waste management; Chemistry; Engineering; Meteorology; Electrical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003300527,0.0005783447,0.0007710702,0.0009394416,0.0004657702,0.0006988555,0.001262742,0.001506067,0.001597874],"category_scores_gemma":[0.0002557939,0.0003979738,0.0007513432,0.0003978877,0.0002454661,0.001123177,0.0004812465,0.0004430351,0.001253866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003332575,"about_ca_system_score_gemma":0.0002516926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008404119,"about_ca_topic_score_gemma":0.0009259675,"domain_scores_codex":[0.9996188,0.00001948794,0.00002874175,0.0001011579,0.0001875063,0.00004422728],"domain_scores_gemma":[0.9997619,0.0000335887,0.00003076082,0.00003299972,0.00007955728,0.00006112516],"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":[0.0001425161,0.0001366377,0.0004016653,0.0002422406,0.00003996877,0.0002841619,0.00002638874,0.0001825878,0.974623,0.000418827,0.0006187925,0.02288326],"study_design_scores_gemma":[0.00006839079,0.0005328432,0.001850629,0.000008481234,0.00007172176,0.00151446,0.000012146,0.003035729,0.9770807,0.00008439186,0.01570435,0.00003620625],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7306312,0.006655118,0.2447103,0.0007553772,0.001267493,0.0005348045,0.0007280711,0.004547691,0.01016989],"genre_scores_gemma":[0.7930982,0.00251555,0.1819142,0.0004879683,0.0002675157,0.0002010395,0.0007994263,0.000177837,0.02053814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001597874,"threshold_uncertainty_score":0.005345464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01583753885631915,"score_gpt":0.2661361552972444,"score_spread":0.2502986164409253,"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."}}