{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007892719,0.0001810366,0.0002624918,0.0000902128,0.00006801936,0.00002127247,0.0002206736,0.0001156189,0.00001541376],"category_scores_gemma":[0.000007711796,0.0001751485,0.00004486612,0.0002212736,0.00001904163,0.0001177182,0.00001939593,0.00005651122,0.000001813228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001137896,"about_ca_system_score_gemma":0.00005674671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007064911,"about_ca_topic_score_gemma":0.001141658,"domain_scores_codex":[0.9991293,0.00005081873,0.0004175654,0.0001043596,0.0001137611,0.0001841835],"domain_scores_gemma":[0.999479,0.00003067747,0.00006050661,0.0001880975,0.0001522322,0.0000894765],"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":[0.00004741919,0.00002413079,0.000005782029,0.0002925012,0.0001872825,0.000002086682,0.003775603,0.912221,0.01168791,0.05132825,0.0008043504,0.01962368],"study_design_scores_gemma":[0.0002602572,0.00004626671,0.000002405451,0.00008806644,0.000009826867,0.000002692364,0.003800644,0.6612902,0.1867195,0.000005750168,0.1475837,0.0001906374],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02732948,0.0001698253,0.9633251,0.00001655697,0.0005305156,0.00006673438,0.00003134138,0.0008541838,0.007676276],"genre_scores_gemma":[0.9661134,0.000007519093,0.03292033,0.00005266217,0.00008053195,0.0001016024,0.0005233985,0.00006670484,0.0001338499],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9387839,"threshold_uncertainty_score":0.7142349,"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."}}