{"id":"W2333620643","doi":"10.1115/es2009-90477","title":"Next Generation Oxy-Fired Systems: Potential for Energy Efficiency Improvement Through Pressurization","year":2009,"lang":"en","type":"article","venue":"","topic":"Combustion and flame dynamics","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Cabin pressurization; Process engineering; Boiler (water heating); Combustion; Pulverized coal-fired boiler; Greenhouse gas; Efficient energy use; Waste management; Automotive engineering; Environmental science; Engineering; Computer science; Coal; Mechanical engineering; Electrical engineering; Chemistry","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":[0.00004367175,0.0000993574,0.00008966357,0.00003550678,0.00006736911,0.00008863195,0.00006251028,0.00006215494,0.0000185073],"category_scores_gemma":[0.000005370357,0.00009741046,0.00004070627,0.00008255683,0.000004817273,0.0001803905,0.000005825059,0.00002566884,0.000002704539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005096254,"about_ca_system_score_gemma":0.000008102381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000216179,"about_ca_topic_score_gemma":0.000008014214,"domain_scores_codex":[0.9994114,0.000006871218,0.0002008148,0.0001270181,0.0001050052,0.0001488639],"domain_scores_gemma":[0.9997669,0.000005922599,0.00002410558,0.0001262549,0.00004902149,0.00002778075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004726075,0.00003503834,5.916062e-7,0.00002457353,0.00001148904,3.182042e-7,0.00005913926,0.8297833,0.1240068,0.02862545,0.002171696,0.01527695],"study_design_scores_gemma":[0.0003216195,0.00007932379,0.00001851467,0.000005309459,0.00001420441,0.000001101048,0.00002754404,0.9911813,0.004739772,0.0001430153,0.003346322,0.0001219319],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01774347,0.0001972625,0.9789425,0.00006343803,0.0008878533,0.0002485698,0.000006531824,0.0003036958,0.001606685],"genre_scores_gemma":[0.9968675,0.00007229178,0.001590383,0.0001000067,0.0002656102,0.00003108325,0.0001433221,0.0000135374,0.0009161992],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9791241,"threshold_uncertainty_score":0.3972283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01437521119464802,"score_gpt":0.2089026250300058,"score_spread":0.1945274138353578,"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."}}