{"id":"W2019962885","doi":"10.1002/er.1511","title":"Performance analysis of an industrial waste heat-based trigeneration system","year":2009,"lang":"en","type":"article","venue":"International Journal of Energy Research","topic":"Adsorption and Cooling Systems","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ontario Institute of Technology","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Exergy; Exergy efficiency; Exhaust gas; Waste heat recovery unit; Waste heat; Thermal energy; Thermal efficiency; Heat recovery ventilation; Energy recovery; Waste management; Environmental science; Organic Rankine cycle; Thermodynamics; Nuclear engineering; Chemistry; Energy (signal processing); Heat exchanger; Engineering; Combustion","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004564523,0.0005685667,0.001018387,0.0005843958,0.0006106744,0.0005246466,0.0005681054,0.0004898074,0.003202418],"category_scores_gemma":[0.0004534956,0.0001537845,0.0003768256,0.0005686019,0.0002270624,0.0006221665,0.0002571162,0.0002108577,0.0006692414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005084038,"about_ca_system_score_gemma":0.0003634593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002475193,"about_ca_topic_score_gemma":0.002098809,"domain_scores_codex":[0.9997632,0.00004940961,0.00002091147,0.00003900255,0.00008935635,0.00003817532],"domain_scores_gemma":[0.9998459,0.00005697052,0.00002059089,0.00001807717,0.00004593182,0.00001256196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003755516,0.0004662224,0.008609978,0.0007282702,0.00009256753,0.0004454852,0.0002144543,0.1461393,0.7672216,0.0004744828,0.0003412106,0.0715109],"study_design_scores_gemma":[0.0001224724,0.002690754,0.01665888,0.0000225029,0.0001175782,0.0002600046,0.0001272698,0.1903351,0.7878436,0.0002791522,0.001478966,0.0000637551],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923799,0.0001803154,0.006002616,0.00002736425,0.000006947388,0.00002422334,0.00009789099,0.0003397181,0.0009409655],"genre_scores_gemma":[0.9979959,0.00007523853,0.001077511,0.000006893213,0.000001160008,0.00000970502,0.00008967739,0.00001284674,0.0007310428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003202418,"threshold_uncertainty_score":0.0107131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06251756783373813,"score_gpt":0.3331931479183152,"score_spread":0.2706755800845771,"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."}}