{"id":"W2158353014","doi":"10.1115/gt2002-30589","title":"Cold Flow Investigation of Silicon Carbide Cylindrical Filter Element","year":2002,"lang":"en","type":"article","venue":"","topic":"Aerosol Filtration and Electrostatic Precipitation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Chrysler (Canada)","funders":"","keywords":"Silicon carbide; Filter (signal processing); Materials science; Channel (broadcasting); Flow (mathematics); Silicon; Optics; Acoustics; Electronic engineering; Mechanics; Composite material; Optoelectronics; Engineering; Telecommunications; Electrical engineering; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000491503,0.0000663317,0.00008029675,0.00003444542,0.00001587255,0.000009703217,0.00003881098,0.00003811844,0.000780072],"category_scores_gemma":[0.00001482912,0.00006483417,0.00002340855,0.0001004983,0.00001494885,0.00009157157,0.000004076856,0.00005459458,0.00006702742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003413631,"about_ca_system_score_gemma":0.000003713763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006627509,"about_ca_topic_score_gemma":0.00001505192,"domain_scores_codex":[0.9994865,0.00001351416,0.0002036539,0.00006976428,0.0001171504,0.0001094105],"domain_scores_gemma":[0.9997864,0.00003127923,0.00001945687,0.00008880953,0.00002886009,0.00004520432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004958682,0.00003300876,0.002238078,0.00007726153,0.00004875186,0.000001049199,0.002586727,0.03860166,0.876405,0.004345031,0.06977405,0.005884415],"study_design_scores_gemma":[0.0002295029,0.00004887189,0.001960431,0.00000681047,0.000007339837,7.23743e-7,0.00003129995,0.6733951,0.3234239,0.000112545,0.000693027,0.00009048061],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9270601,0.0001097781,0.03862709,0.0004999267,0.0002277899,0.0002932871,0.00001003101,0.0003066749,0.0328653],"genre_scores_gemma":[0.9954106,0.00002079518,0.003825623,0.0001714596,0.00002783086,0.0000149006,0.0000175707,0.000009839675,0.0005014039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6347935,"threshold_uncertainty_score":0.8541241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01828193534636463,"score_gpt":0.2024945335292435,"score_spread":0.1842125981828788,"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."}}