{"id":"W2943862571","doi":"10.1155/2019/5243737","title":"Energy Consumption Analysis of a Large Building at Memorial University","year":2019,"lang":"en","type":"article","venue":"Journal of Energy","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Canadian Bureau for International Education","keywords":"HVAC; Energy consumption; Air conditioning; Ventilation (architecture); Energy (signal processing); Environmental science; Building energy simulation; Architectural engineering; Building model; Process (computing); Efficient energy use; Computer science; Meteorology; Engineering; Simulation; Energy performance; Mechanical engineering; Electrical engineering; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001172951,0.00007636467,0.0002566219,0.000444066,0.00002706607,0.00000579382,0.0001211885,0.00008024414,0.000286556],"category_scores_gemma":[0.000004258555,0.0000769444,0.0001821761,0.0004183913,0.000009671638,0.0001484568,0.00002885117,0.00005554423,3.721666e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001138161,"about_ca_system_score_gemma":0.00001493586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002556551,"about_ca_topic_score_gemma":0.00007027169,"domain_scores_codex":[0.9994125,0.0000274804,0.0002288818,0.0000628478,0.000157696,0.0001105933],"domain_scores_gemma":[0.9995526,0.00004075685,0.000172951,0.000107768,0.00007900473,0.00004689834],"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":[0.0000620167,0.00001895372,0.002213206,0.000008101907,0.0007080603,0.000005764288,0.00001999693,0.9723977,0.008371214,0.01545213,0.0002786312,0.0004641586],"study_design_scores_gemma":[0.001690054,0.0001155452,0.002470684,0.00006510208,0.001133333,0.00002363499,0.00003644364,0.9015964,0.03180021,0.0001620367,0.06062477,0.0002817674],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.826622,0.0002323738,0.1713969,0.000007647186,0.0007203248,0.00000629646,0.000005751143,0.00002138791,0.0009872677],"genre_scores_gemma":[0.998036,0.0004155876,0.001080711,0.00001446034,0.00009029511,7.390764e-8,0.000008847899,0.000009585611,0.0003444532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.171414,"threshold_uncertainty_score":0.3137701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005176055632119799,"score_gpt":0.1916764560770793,"score_spread":0.1865004004449595,"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."}}