{"id":"W1874782817","doi":"10.13044/j.sdewes.2015.03.0026","title":"Emissions and Furnace Gas Temperature for Electricity Generation Via Co-Firing of Coal and Biomass","year":2015,"lang":"en","type":"article","venue":"Journal of Sustainable Development of Energy Water and Environment Systems","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Coal; Electricity generation; Environmental science; Waste management; Biomass (ecology); Electricity; Power (physics); Engineering; Geology; Thermodynamics; Electrical 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":[0.000240503,0.0002362833,0.0002014449,0.0002209175,0.0001933014,0.0002658369,0.0002241749,0.000253202,0.001085808],"category_scores_gemma":[0.0004510343,0.0001225202,0.0004063102,0.0002358561,0.000166699,0.0002511028,0.0001397947,0.0002083089,0.0001340331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000610492,"about_ca_system_score_gemma":0.0002571601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003950503,"about_ca_topic_score_gemma":0.009257787,"domain_scores_codex":[0.9999012,0.00002301121,0.000003765387,0.00001428628,0.00003978989,0.00001788309],"domain_scores_gemma":[0.9997961,0.000142002,0.00002133702,0.000007911794,0.00002393387,0.000008749025],"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":[0.003290836,0.0003761693,0.157747,0.0003929308,0.0001272664,0.0009425736,0.0002124538,0.5185719,0.2859645,0.001614605,0.0003021949,0.03045761],"study_design_scores_gemma":[0.0001109708,0.001439693,0.1839137,0.00003296833,0.0001068247,0.0003130691,0.000403767,0.4710684,0.3399481,0.001170974,0.00143588,0.00005560428],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981663,0.00004040867,0.0007840095,0.000008645853,0.00000197155,0.000005943823,0.0000727001,0.00001010072,0.0009099714],"genre_scores_gemma":[0.9991956,0.00002300557,0.0003606399,0.000001092638,3.844193e-7,0.000003984375,0.00007479596,0.000003627666,0.0003368426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003950503,"threshold_uncertainty_score":0.007854998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009487563471675365,"score_gpt":0.1855119938339732,"score_spread":0.1760244303622978,"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."}}