{"id":"W4245811108","doi":"10.32920/ryerson.14663088","title":"A computational analysis on energy consumption of a Ryerson building","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Energy consumption; HVAC; Architectural engineering; Roof; Consumption (sociology); Energy (signal processing); Computer science; Efficient energy use; Environmental science; Civil engineering; Engineering; Mechanical engineering; Air conditioning; Electrical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001685272,0.0003538578,0.0005599756,0.0005352122,0.0003801019,0.000707986,0.0004845448,0.0005884051,0.00424547],"category_scores_gemma":[0.0006304901,0.0002160075,0.0006416616,0.0007930116,0.0002583835,0.0003418172,0.0003003992,0.0003170478,0.0002907634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006138752,"about_ca_system_score_gemma":0.000458675,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02787029,"about_ca_topic_score_gemma":0.0149364,"domain_scores_codex":[0.9998909,0.0000304022,0.000003840932,0.00002105593,0.0000231854,0.00003050262],"domain_scores_gemma":[0.9998387,0.0001076906,0.000008580906,0.00001309834,0.00002283513,0.000008949576],"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":[0.00008266198,0.00004000407,0.002710818,0.00005903829,0.00002151566,0.00008881676,0.00003923597,0.9877461,0.001175618,0.002021787,0.0005481852,0.005466362],"study_design_scores_gemma":[0.000006191358,0.00002329425,0.002062815,0.000004549835,0.000009706416,0.00001247475,0.00004957503,0.9963706,0.0006103514,0.0003443362,0.0005010669,0.000005107069],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.962208,0.0002405794,0.01770285,0.0001598257,0.00002598217,0.00002342687,0.001215073,0.0001451291,0.0182791],"genre_scores_gemma":[0.9911076,0.000148718,0.005215243,0.00001477986,0.0000060686,0.00002930362,0.0008200377,0.00004406107,0.002614118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9721297,"threshold_uncertainty_score":0.05541617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01318639995396027,"score_gpt":0.230847858950023,"score_spread":0.2176614589960627,"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."}}