{"id":"W4244377004","doi":"10.32920/ryerson.14664660","title":"Energy benchmarking and ventilation related energy saving potentials for small and medium sized enterprises in Greater Toronto area","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":"Toronto Metropolitan University","funders":"","keywords":"Benchmarking; Energy consumption; Ventilation (architecture); Efficient energy use; Energy accounting; Environmental science; Environmental economics; Business; Engineering; Mechanical engineering; Economics","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":[0.0002565939,0.000204304,0.00017775,0.000698672,0.0006217901,0.0008594504,0.0003323361,0.0002035061,0.001443921],"category_scores_gemma":[0.0007188774,0.00009090775,0.0002476656,0.002009739,0.000332122,0.0003284192,0.0004059329,0.0001279264,0.0001110957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00813673,"about_ca_system_score_gemma":0.002353982,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6421409,"about_ca_topic_score_gemma":0.8300226,"domain_scores_codex":[0.9996434,0.00004233277,0.00001147472,0.00004448481,0.0001583725,0.00009987389],"domain_scores_gemma":[0.9996462,0.00007692642,0.00005705755,0.00002473682,0.00013782,0.00005716686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001258739,0.0002218538,0.7163919,0.0005736293,0.0001920175,0.00179388,0.004688483,0.131693,0.04029398,0.005670967,0.002792066,0.09442949],"study_design_scores_gemma":[0.00001016662,0.0001954943,0.9597827,0.00003660175,0.00004803086,0.0001074485,0.006912652,0.02227551,0.006272134,0.0002459432,0.004086448,0.00002688789],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970959,0.0001016731,0.0003874267,0.00002732707,0.000001123307,0.00001146915,0.0002952661,0.00001137605,0.00206841],"genre_scores_gemma":[0.9987985,0.00006526553,0.0002710235,0.000002055808,4.730139e-7,0.000003801167,0.0001492455,0.000002463358,0.0007071061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3578591,"threshold_uncertainty_score":0.7199332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01020039068346211,"score_gpt":0.1949152072119778,"score_spread":0.1847148165285157,"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."}}