{"id":"W2105787111","doi":"10.5539/eer.v3n2p1","title":"Enhancing Furnace Thermal Efficiency by Adjusting Fuel Temperature","year":2013,"lang":"en","type":"article","venue":"Energy and Environment Research","topic":"Radiative Heat Transfer Studies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nozzle; Combustor; Materials science; Fuel efficiency; Thermal; Carbon dioxide; Fuel gas; Combustion; Fuel mass fraction; Environmental science; Thermal efficiency; Thermal radiation; Flow (mathematics); Nuclear engineering; Mechanics; Thermodynamics; Chemistry; Vapor lock; Combustion chamber","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002406208,0.000330239,0.000278636,0.0002538026,0.000185662,0.00038389,0.0004878773,0.0002506545,0.001537862],"category_scores_gemma":[0.000482607,0.0001883718,0.000258425,0.0003125216,0.0001400382,0.0003816374,0.0001810433,0.0002390763,0.0004966912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002310264,"about_ca_system_score_gemma":0.0001558126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005934188,"about_ca_topic_score_gemma":0.001081048,"domain_scores_codex":[0.9998465,0.00001611571,0.00001488445,0.00003314087,0.000059988,0.00002938452],"domain_scores_gemma":[0.9998378,0.00005038625,0.00002185962,0.00003118327,0.00005189473,0.000006987073],"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":[0.0002636558,0.00006941859,0.0021978,0.0002154849,0.00001408023,0.00005423998,0.00007103763,0.003377483,0.9674507,0.0002331268,0.0002522861,0.02580075],"study_design_scores_gemma":[0.00002218003,0.0001573974,0.007220349,0.000009475101,0.00002824917,0.00007907233,0.00003206199,0.007757784,0.9809744,0.00008039447,0.003625933,0.00001267514],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9574244,0.0007550162,0.03159381,0.00009857363,0.000052287,0.00008863986,0.0001998388,0.0006435249,0.009143821],"genre_scores_gemma":[0.9803815,0.0003793749,0.01648598,0.00002286111,0.000007208635,0.00004771677,0.0001091706,0.00007636791,0.00248984],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001537862,"threshold_uncertainty_score":0.005144656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01177428948478224,"score_gpt":0.223926756170394,"score_spread":0.2121524666856118,"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."}}