{"id":"W4230934732","doi":"10.32920/ryerson.14646909","title":"Examining the performance gap in LEED certified MURBs","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Sustainable Building Design and Assessment","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"","keywords":"Certification; Energy performance; Energy (signal processing); Sample (material); Regression analysis; Environmental science; Econometrics; Computer science; Statistics; Mathematics; Physics; Economics; Thermodynamics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001877223,0.00020187,0.0003031711,0.000919661,0.0004798025,0.001346832,0.0006203029,0.0003560572,0.001544962],"category_scores_gemma":[0.007519416,0.0001157994,0.000190162,0.00128347,0.0006800149,0.0009576844,0.001388754,0.0003142441,0.0002792911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003496841,"about_ca_system_score_gemma":0.001056243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03532182,"about_ca_topic_score_gemma":0.06595316,"domain_scores_codex":[0.9986097,0.0002715918,0.00006587515,0.0001634882,0.0006813306,0.0002081358],"domain_scores_gemma":[0.9963361,0.000975141,0.0009622882,0.0002460669,0.001302449,0.0001779864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003162362,0.0002271711,0.9553995,0.00005595129,0.00003622174,0.0004134467,0.00431923,0.009022127,0.003803206,0.001523754,0.0002304526,0.02465271],"study_design_scores_gemma":[0.000002988824,0.0002295261,0.9863366,0.00001730408,0.000005873751,0.00008195831,0.005084506,0.004968638,0.002251768,0.0001791318,0.0008299075,0.00001176708],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986313,0.00001931674,0.0002412297,0.00002709624,8.211719e-7,0.000003777563,0.00004715472,0.000004624039,0.001024695],"genre_scores_gemma":[0.9996074,0.000008802774,0.00009361006,0.000002590836,5.279504e-7,0.000001732926,0.00006219411,0.000002522749,0.0002208207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03532182,"threshold_uncertainty_score":0.07023245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0528777164266105,"score_gpt":0.2510952199849373,"score_spread":0.1982175035583268,"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."}}