{"id":"W2024292621","doi":"10.1115/es2009-90410","title":"Thermal Performance of a Combined Heat, Cooling, and Power Microturbine System","year":2009,"lang":"en","type":"article","venue":"","topic":"Thermodynamic and Exergetic Analyses of Power and Cooling Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Chiller; Chilled water; Absorption refrigerator; Water cooling; Waste heat; Nuclear engineering; Lithium bromide; Waste management; Engineering; Electric power; Environmental science; Automotive engineering; Mechanical engineering; Power (physics); Refrigeration; Heat exchanger; Thermodynamics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002473432,0.0003784533,0.0006068659,0.0003821455,0.000568845,0.000524178,0.0004804209,0.0002947831,0.004722411],"category_scores_gemma":[0.0004553895,0.0002622313,0.0002181162,0.0003934512,0.0003245293,0.0003828717,0.0002461512,0.0002749014,0.0005186447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001247423,"about_ca_system_score_gemma":0.0006589181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02698261,"about_ca_topic_score_gemma":0.04849084,"domain_scores_codex":[0.9997439,0.00002210181,0.00001465896,0.0000459489,0.0001096304,0.00006381868],"domain_scores_gemma":[0.9996784,0.00007756717,0.00001911908,0.00002410173,0.0001479455,0.00005301555],"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":[0.004612011,0.0002042888,0.01477343,0.0006227829,0.0001559937,0.0005051584,0.0005136947,0.02870633,0.9048464,0.0003033332,0.001340408,0.04341621],"study_design_scores_gemma":[0.0003242304,0.003896096,0.07660033,0.00004620096,0.0002408134,0.0003537386,0.0004855694,0.06149022,0.851653,0.00005756611,0.004777724,0.00007452757],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982919,0.0001433414,0.000562447,0.00001568896,0.000007802167,0.000009389532,0.00006824659,0.00008020856,0.0008209368],"genre_scores_gemma":[0.9985774,0.00004358498,0.0002704556,0.000004248676,0.000001973942,0.000004755928,0.00006389894,0.000007973885,0.001025652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02698261,"threshold_uncertainty_score":0.05365109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003247599651014957,"score_gpt":0.1792198143971533,"score_spread":0.1759722147461384,"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."}}