{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001991676,0.0001561674,0.0003749617,0.0003520031,0.0002460321,0.00005492943,0.0005023285,0.0002555554,0.00002047577],"category_scores_gemma":[0.00008531851,0.0001376931,0.0001810954,0.0007173853,0.00007443883,0.0001098651,0.00006105953,0.000149948,0.000007120058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008596569,"about_ca_system_score_gemma":0.0000771987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003801636,"about_ca_topic_score_gemma":0.0000712351,"domain_scores_codex":[0.9985113,0.00004593172,0.00072999,0.0002213222,0.0001903991,0.0003011237],"domain_scores_gemma":[0.9983472,0.00005923207,0.0006788415,0.0002562867,0.0005276307,0.0001308034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009941844,0.00004448543,0.00004443452,0.00008037396,0.0001032048,0.00001427308,0.000115558,0.02721165,0.01720516,0.9483711,0.001220387,0.00548994],"study_design_scores_gemma":[0.0008025771,0.0002705664,0.00001438302,0.00002019487,0.00006437979,0.0001053242,0.00221113,0.002072933,0.01950159,0.003168239,0.9716239,0.0001447915],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2360865,0.00461238,0.7090064,0.02531228,0.0003868811,0.00100177,0.00002645611,0.0009444209,0.02262297],"genre_scores_gemma":[0.9942605,0.00002099065,0.002151303,0.0001814283,0.00121194,0.0003025445,0.000007288131,0.00004001623,0.001823974],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9704035,"threshold_uncertainty_score":0.5614962,"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."}}