{"id":"W4248676898","doi":"10.1016/b978-008044276-1/50015-5","title":"Numerical investigation of oxy-coal combustion to evaluate burner and combustor design concepts","year":2003,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Combustion and flame dynamics","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Combustor; Flue gas; Combustion; Flue-gas emissions from fossil-fuel combustion; NOx; Process engineering; Coal; Natural gas; Engineering; Adiabatic flame temperature; Volume (thermodynamics); Waste management; Environmental science; Mechanical 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003351741,0.0004143012,0.0005610724,0.0002060297,0.00005629,0.00003027818,0.0001345724,0.0003453103,0.0001206444],"category_scores_gemma":[0.00002757822,0.0004412235,0.0001045094,0.00003010487,0.0001531938,0.00004364231,0.00003653395,0.0004116994,0.00005681333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001506527,"about_ca_system_score_gemma":0.00005041965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.555992e-7,"about_ca_topic_score_gemma":0.000002221388,"domain_scores_codex":[0.998517,0.00006893005,0.000529453,0.000315843,0.0003376005,0.000231162],"domain_scores_gemma":[0.999072,0.00009051445,0.0001316506,0.000323379,0.0001456407,0.0002368777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007438909,0.00001222391,0.000059351,0.000579465,0.0002902266,0.00001757339,0.001418102,0.05467047,0.001105213,0.008687964,0.002988551,0.9300964],"study_design_scores_gemma":[0.003517913,0.0008363239,0.0006241423,0.0026475,0.001063233,0.0001209748,0.00007366058,0.1566544,0.002614888,0.02333834,0.8047814,0.003727207],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00374401,0.001714874,0.02578637,0.0001464169,0.001680127,0.002393812,0.00007015638,0.0004662699,0.963998],"genre_scores_gemma":[0.1115482,0.0003616257,0.0125565,0.001128388,0.0003039781,0.0001201424,0.0001482823,0.0004435742,0.8733892],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9263692,"threshold_uncertainty_score":0.999804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02277116193340046,"score_gpt":0.2429267407626761,"score_spread":0.2201555788292757,"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."}}