{"id":"W3018542404","doi":"10.1016/j.energy.2020.117683","title":"Development of an integrated energy system for smart communities","year":2020,"lang":"en","type":"article","venue":"Energy","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ontario Institute of Technology","funders":"","keywords":"Exergy; Boiler (water heating); Environmental science; Geothermal gradient; Geothermal energy; Exergy efficiency; Condenser (optics); Renewable energy; Heating system; Environmental engineering; Organic Rankine cycle; Waste management; Process engineering; Electricity; Engineering; Waste heat; Mechanical engineering; 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":[0.0005513629,0.0004915225,0.0005528508,0.0004928309,0.0009197807,0.00112934,0.0009736653,0.0007592877,0.003926891],"category_scores_gemma":[0.0006292243,0.0002503364,0.0004699868,0.0008486228,0.0002487554,0.001644904,0.001398562,0.0007400259,0.0008927627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001203772,"about_ca_system_score_gemma":0.004151273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01084344,"about_ca_topic_score_gemma":0.02097246,"domain_scores_codex":[0.9995052,0.0001082303,0.00001766299,0.00007787345,0.0002269812,0.0000641012],"domain_scores_gemma":[0.9997148,0.0000154216,0.0000139259,0.00002446819,0.000196526,0.00003485896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002815551,0.0008232693,0.008240337,0.0002417461,0.0001440684,0.0002405677,0.0001848025,0.5568945,0.03980485,0.04046471,0.01063909,0.3420406],"study_design_scores_gemma":[0.0001094325,0.0004347429,0.002665657,0.00004423932,0.00008189185,0.0001042877,0.0002579341,0.937206,0.01558986,0.01417277,0.02929218,0.00004111472],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1288876,0.0003224648,0.8291082,0.0008893547,0.000181522,0.0006557662,0.0004926654,0.002772039,0.03669028],"genre_scores_gemma":[0.7228941,0.0002610358,0.2663282,0.0001262505,0.0000277115,0.0003572053,0.000690528,0.0001266221,0.009188322],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01084344,"threshold_uncertainty_score":0.02156061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01624713649713178,"score_gpt":0.190184345318582,"score_spread":0.1739372088214502,"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."}}