{"id":"W2167017799","doi":"10.1139/l09-122","title":"Detailed analysis of electricity, water, and gas consumption quantities and costs in Toronto’s public schools","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Life Cycle Costing Analysis","field":"Business, Management and Accounting","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of New Brunswick","funders":"","keywords":"Electricity; Consumption (sociology); Gas consumption; Energy consumption; Sample (material); Agricultural economics; Environmental economics; Environmental science; Economics; Environmental engineering; Engineering; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0002095112,0.0001943323,0.0002052886,0.002064125,0.0005633775,0.0006957644,0.0002719616,0.0001540447,0.001842643],"category_scores_gemma":[0.001060065,0.0002080338,0.0002542102,0.005784369,0.0003466057,0.0003356134,0.0003424062,0.0001623011,0.000136982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008285907,"about_ca_system_score_gemma":0.002984371,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8306667,"about_ca_topic_score_gemma":0.9258838,"domain_scores_codex":[0.9994753,0.00004186243,0.00003228633,0.0000553364,0.0002899072,0.0001053892],"domain_scores_gemma":[0.9988324,0.0001138324,0.0004457356,0.00004890021,0.0004337902,0.0001254256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006468792,0.0000226387,0.9851247,0.00005328451,0.00005562361,0.0002221298,0.001595977,0.002987584,0.001093612,0.0003248346,0.0007028758,0.007752101],"study_design_scores_gemma":[4.481749e-7,0.000009988259,0.9984447,0.000002368351,0.000006555554,0.0000158806,0.0006191551,0.0003417159,0.0001245035,0.000007615926,0.0004241797,0.000002882685],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970133,0.0000891773,0.00008979021,0.00002241456,7.543504e-7,0.000007753007,0.001786759,0.000005624441,0.0009844804],"genre_scores_gemma":[0.9973667,0.00009133759,0.00009418198,0.000003756215,0.000001044345,0.000004647756,0.001473639,0.000002112782,0.0009624112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1693333,"threshold_uncertainty_score":0.3406611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01120276509852024,"score_gpt":0.2030523703438707,"score_spread":0.1918496052453504,"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."}}