{"id":"W4229526930","doi":"10.1504/ijex.2018.093900","title":"Exergy approach for advancing sustainability of a biomass boiler","year":2018,"lang":"en","type":"article","venue":"International Journal of Exergy","topic":"Thermodynamic and Exergetic Analyses of Power and Cooling Systems","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Exergy; Boiler (water heating); Exergy efficiency; Environmental science; Waste management; Limiting; Engineering; Mechanical 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":[0.0002945988,0.0005611861,0.0003832125,0.0009772051,0.0003250498,0.0007070828,0.0004566862,0.0003300057,0.002784127],"category_scores_gemma":[0.0005054867,0.0002269667,0.0006061488,0.0004732998,0.0005344959,0.0007179118,0.0006875893,0.0006387648,0.0003006261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008763887,"about_ca_system_score_gemma":0.0007989484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00237911,"about_ca_topic_score_gemma":0.002904436,"domain_scores_codex":[0.9998827,0.00003395129,0.000004186174,0.0000127337,0.00005004886,0.0000163253],"domain_scores_gemma":[0.9999374,0.0000272687,0.000004301651,0.000006844124,0.000019838,0.000004425993],"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":[0.00006459275,0.00008676005,0.002263165,0.0002090954,0.00004742407,0.0002447188,0.0001231883,0.7150811,0.02599898,0.1823273,0.0006195242,0.07293411],"study_design_scores_gemma":[0.00001387402,0.0001276955,0.002296718,0.00004954009,0.00003333954,0.0001151733,0.0002083511,0.8805953,0.01096873,0.09547757,0.0100901,0.00002366322],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1071521,0.001354554,0.8331063,0.000435887,0.0001053105,0.0001600595,0.0001571579,0.0001856988,0.05734292],"genre_scores_gemma":[0.9213558,0.0009091772,0.06322125,0.00004343626,0.00002219853,0.0001413238,0.00009693978,0.00008525805,0.01412459],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002784127,"threshold_uncertainty_score":0.009313881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005808375852350217,"score_gpt":0.2549838506177916,"score_spread":0.2491754747654414,"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."}}