{"id":"W84160986","doi":"10.1007/978-3-540-89251-9_9","title":"Dust Flow Separator Type Electrostatic Precipitator for a Particulate Matter Emission Control from Natural Gas Combution","year":2009,"lang":"en","type":"book-chapter","venue":"","topic":"Aerosol Filtration and Electrostatic Precipitation","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University; McMaster University","funders":"","keywords":"Electrostatic precipitator; Separator (oil production); Particulates; Combustion; Volumetric flow rate; Natural gas; Particle size; Volume (thermodynamics); Materials science; Analytical Chemistry (journal); Environmental science; Chemistry; Waste management; Environmental engineering; Environmental chemistry; Mechanics; Physics; Thermodynamics; 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":[0.00007927763,0.0004059671,0.0003875559,0.0003510137,0.0002962307,0.0003808682,0.0007391273,0.0004092913,0.00289838],"category_scores_gemma":[0.00009277566,0.000220737,0.0003217266,0.0003919114,0.0001766195,0.000461347,0.0002531552,0.000582872,0.001778573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002726039,"about_ca_system_score_gemma":0.0002668091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004936511,"about_ca_topic_score_gemma":0.001308267,"domain_scores_codex":[0.9998429,0.000006482352,0.000005360648,0.00002566873,0.000112933,0.000006660327],"domain_scores_gemma":[0.9999541,0.00001230893,0.000004888264,0.000004892299,0.00002090452,0.000002899454],"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":[0.0001383335,0.0001677568,0.0004668787,0.0005672944,0.00003603397,0.0003799144,0.0001165718,0.001633994,0.5887613,0.004541254,0.01155637,0.3916344],"study_design_scores_gemma":[0.00002624498,0.0003506236,0.002917036,0.00004126109,0.00005591774,0.001523645,0.0000307094,0.01494889,0.7916085,0.001296988,0.1871717,0.00002844053],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1226023,0.02532689,0.7369907,0.0008359906,0.001796834,0.0004417255,0.0007415528,0.004190225,0.1070737],"genre_scores_gemma":[0.2953365,0.01188784,0.2024678,0.0007851435,0.000531011,0.0002340668,0.00103879,0.0005834015,0.4871355],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00289838,"threshold_uncertainty_score":0.009696007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007157060796508055,"score_gpt":0.2169028665807928,"score_spread":0.2097458057842847,"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."}}