{"id":"W4393979021","doi":"10.3390/en17071744","title":"Auditing and Analysis of Natural Gas Consumptions in Small- and Medium-Sized Industrial Facilities in the Greater Toronto Area for Energy Conservation Opportunities","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Energy Efficiency and Management","field":"Energy","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Mitacs","keywords":"Audit; Energy conservation; Natural gas; Industrial area; Business; Environmental science; Waste management; Environmental economics; Engineering; Environmental protection; Economics; Accounting","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006720411,0.0002385221,0.0001620073,0.001910856,0.001369003,0.0006456336,0.0005555233,0.0001831794,0.001019807],"category_scores_gemma":[0.00232202,0.0002024207,0.0001461503,0.003500274,0.0005990358,0.0002705163,0.0006659104,0.0002608628,0.0001065429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01016378,"about_ca_system_score_gemma":0.008809772,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8254766,"about_ca_topic_score_gemma":0.9465959,"domain_scores_codex":[0.9987932,0.0001058798,0.00005505201,0.0000887863,0.0007642814,0.0001927958],"domain_scores_gemma":[0.9949486,0.0006871464,0.001123275,0.0001829948,0.002595463,0.0004624432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002424804,0.00007199537,0.9512658,0.0001855207,0.00003151736,0.0006053357,0.005449557,0.001748375,0.006225753,0.0002106253,0.001193114,0.03277004],"study_design_scores_gemma":[0.000001875859,0.00004993185,0.9910845,0.00001779775,0.000006681023,0.00005526219,0.00504013,0.000798873,0.001340584,0.00001323415,0.001581098,0.00001001524],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997191,0.00009571132,0.0002854473,0.00004741679,0.000002203426,0.00005692962,0.0006295913,0.00001315656,0.001678368],"genre_scores_gemma":[0.9972615,0.000123756,0.0004932107,0.00001304801,0.000001317547,0.0000144444,0.0004766171,0.000003694658,0.001612419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1745234,"threshold_uncertainty_score":0.3511024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08836877992358992,"score_gpt":0.2634699873217344,"score_spread":0.1751012073981445,"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."}}