{"id":"W3037307759","doi":"10.1115/1.4047599","title":"A Sustainable Trigeneration System for Residential Applications","year":2020,"lang":"en","type":"article","venue":"Journal of Energy Resources Technology","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Exergy; Renewable energy; Heat pump; Environmental science; Heat exchanger; Thermal energy storage; Photovoltaic system; Process engineering; Exergy efficiency; Waste management; Electricity; Environmental engineering; Engineering; Mechanical engineering; 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":[0.0001367473,0.0003173006,0.0002913178,0.0005615901,0.0005655559,0.0004715392,0.000464025,0.0003250783,0.006344186],"category_scores_gemma":[0.0001050648,0.0001103634,0.0002839743,0.0007280848,0.0001248101,0.0006620223,0.0004948935,0.0002315791,0.001868673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002855198,"about_ca_system_score_gemma":0.0004241737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009018729,"about_ca_topic_score_gemma":0.001583944,"domain_scores_codex":[0.9998919,0.00001545849,0.000007301796,0.0000269415,0.00004776268,0.00001066555],"domain_scores_gemma":[0.9999558,0.000004867772,0.000005000326,0.0000113183,0.00001629219,0.000006754752],"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":[0.0007259385,0.0004036583,0.008605215,0.0006212678,0.00007632688,0.0007873276,0.0002349826,0.06309063,0.4574461,0.006852274,0.009141373,0.4520148],"study_design_scores_gemma":[0.0002512907,0.001780556,0.02354804,0.0000918939,0.0002063868,0.00140165,0.0004080119,0.3427756,0.4789409,0.0058602,0.1445638,0.0001716956],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6735395,0.001043621,0.2783945,0.0003558591,0.0002532786,0.0003126878,0.001275684,0.00632427,0.03850074],"genre_scores_gemma":[0.9674764,0.0002903039,0.02099511,0.00004262333,0.000015479,0.0001010249,0.0004562955,0.00005379652,0.01056887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006344186,"threshold_uncertainty_score":0.02122349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00884647362111869,"score_gpt":0.221717062303132,"score_spread":0.2128705886820133,"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."}}