{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002481601,0.0001362758,0.0001193564,0.00006357802,0.0002379716,0.00004864644,0.000107931,0.00007695934,0.0003069717],"category_scores_gemma":[0.00001138381,0.0001164315,0.00002106146,0.0001013894,0.0001362929,0.0001328442,0.00005815919,0.000286617,0.00005832572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000699124,"about_ca_system_score_gemma":0.000004439484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001066434,"about_ca_topic_score_gemma":0.00001439768,"domain_scores_codex":[0.9988083,0.00007511003,0.0001257076,0.0002138851,0.0003043364,0.0004726721],"domain_scores_gemma":[0.9996116,0.0001270937,0.000004055737,0.0001415721,0.00000942665,0.0001062806],"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":[0.000004087266,0.00004444044,0.0009322417,0.0000902402,0.00005590358,0.000006534747,0.001470328,0.007587562,0.9681224,0.0003182972,0.004309898,0.01705805],"study_design_scores_gemma":[0.001681383,0.0005187914,0.08755228,0.0002017083,0.00002969147,0.00001654429,0.003980679,0.02167312,0.7658372,0.0005970849,0.1163912,0.001520288],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.969493,0.01796079,0.0008478471,0.0003401432,0.00006252484,0.0001225259,0.000003519202,0.0000748497,0.01109475],"genre_scores_gemma":[0.9916496,0.006834526,0.0001119349,0.00002178726,0.00008287096,0.00009028626,0.000004078976,0.00002510769,0.001179807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2022852,"threshold_uncertainty_score":0.474794,"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."}}