{"id":"W3198652782","doi":"10.32920/ryerson.14663091.v1","title":"The economical benefits of conducting an ASHRAE Level II energy audit","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"ASHRAE 90.1; Audit; Efficient energy use; Benchmarking; Energy conservation; Business; Environmental economics; Accounting; Engineering; Economics; Geography","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":[0.008313577,0.0004738076,0.0003573065,0.001632309,0.001615789,0.003771434,0.0006801164,0.001144528,0.009597769],"category_scores_gemma":[0.03524012,0.0003766984,0.00066314,0.001378203,0.000867647,0.001827509,0.002555454,0.001456499,0.002097274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004705198,"about_ca_system_score_gemma":0.009585099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01758402,"about_ca_topic_score_gemma":0.03178962,"domain_scores_codex":[0.982756,0.005473393,0.0009995976,0.0004737827,0.008486449,0.001810747],"domain_scores_gemma":[0.9308661,0.01966422,0.01169675,0.00965241,0.02272058,0.005399856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002547204,0.001909279,0.2165451,0.0008271186,0.0001560302,0.00297021,0.002473652,0.02656263,0.01562517,0.01714628,0.05469218,0.6585451],"study_design_scores_gemma":[0.0002525008,0.005487263,0.7930741,0.0008931583,0.0002356567,0.003876602,0.01542723,0.01641046,0.01419934,0.009204715,0.1404469,0.0004919494],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.736113,0.0010061,0.02365239,0.02387488,0.0008501628,0.002409127,0.002172955,0.001112401,0.2088089],"genre_scores_gemma":[0.96286,0.0004651965,0.01437139,0.0008455323,0.0001202397,0.000193094,0.000668196,0.00004937088,0.02042676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01758402,"threshold_uncertainty_score":0.04396695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09437869527228668,"score_gpt":0.2699284205826579,"score_spread":0.1755497253103712,"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."}}