{"id":"W2791220309","doi":"10.1016/b978-0-12-809597-3.00335-7","title":"3.16 Thermal Energy Production","year":2018,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Thermodynamic and Exergetic Analyses of Power and Cooling Systems","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Production (economics); Thermal; Thermal energy; Energy (signal processing); Environmental science; Environmental economics; Computer science; Engineering; Process engineering; Mechanical engineering; Meteorology; Thermodynamics; Physics; Economics; Microeconomics","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":[0.0001288109,0.0008056915,0.0004431462,0.0006825045,0.0006526364,0.00178939,0.000673324,0.0008405336,0.1206943],"category_scores_gemma":[0.0001461619,0.0004773729,0.0008361867,0.0006565993,0.0007627859,0.001343389,0.001121738,0.001644161,0.06249893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008315793,"about_ca_system_score_gemma":0.0005022713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00105714,"about_ca_topic_score_gemma":0.00152429,"domain_scores_codex":[0.9998484,0.000007611693,0.000007027967,0.00003960679,0.00008140437,0.00001591314],"domain_scores_gemma":[0.9999697,0.000004305709,0.000001862058,0.000009306072,0.00001115435,0.000003511524],"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":[0.0000952092,0.00008273228,0.000247528,0.0009860988,0.00001964419,0.0002405844,0.0004071628,0.003714626,0.03297701,0.3764465,0.1318345,0.4529484],"study_design_scores_gemma":[0.000006710388,0.00002786237,0.0003830234,0.0001498301,0.000007316626,0.000220344,0.00004971915,0.0008620757,0.007923422,0.03668673,0.9536701,0.00001293234],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001648372,0.004333243,0.01254443,0.000479987,0.0005786486,0.00003773741,0.0003254392,0.0004736798,0.9795784],"genre_scores_gemma":[0.02501495,0.005700085,0.006972723,0.0002533583,0.0002128116,0.00007034213,0.0004323149,0.0004541478,0.9608892],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1206943,"threshold_uncertainty_score":0.4037628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007339840429674564,"score_gpt":0.1944466806493093,"score_spread":0.1871068402196347,"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."}}