{"id":"W2617709255","doi":"10.15173/esr.v9i1.406","title":"Energy Use in the Commercial Sector: Estimated Intensities and Costs for Canada Based on US Survey Data","year":2000,"lang":"en","type":"article","venue":"Energy Studies Review","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Resources Canada; McMaster University","keywords":"Energy (signal processing); Survey data collection; Energy sector; Environmental economics; Environmental science; Natural resource economics; Agricultural economics; Business; Econometrics; Economics; Statistics; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004802919,0.0002932905,0.0005609341,0.0000446876,0.0002063144,0.00002818439,0.0003357266,0.00004686115,0.00009523036],"category_scores_gemma":[0.0002589205,0.0002078755,0.00004761908,0.0002159298,0.0001586685,0.0001241121,0.00003455523,0.00008127251,0.00000100012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001139936,"about_ca_system_score_gemma":0.00007608639,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8361666,"about_ca_topic_score_gemma":0.9890752,"domain_scores_codex":[0.9981191,0.0004567059,0.0004503024,0.0003917573,0.0002653184,0.0003168327],"domain_scores_gemma":[0.9974082,0.001675431,0.0001002346,0.0007028411,0.00005634667,0.00005691527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006579288,0.0005879752,0.03340412,0.001760093,0.001311374,0.0001648266,0.0008013056,0.06828139,0.000006844476,0.04682243,0.3933076,0.4528941],"study_design_scores_gemma":[0.0006264997,0.00006920189,0.08216634,0.0007687657,0.0001174535,0.000002438943,0.00009100883,0.002038053,0.00002000084,0.00003391692,0.9137305,0.00033584],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1933218,0.7507218,0.000649738,0.02030917,0.001969018,0.001890534,0.007661305,0.0003654261,0.02311116],"genre_scores_gemma":[0.7237486,0.237698,0.00008941819,0.03519342,0.00007442629,0.0001819822,0.002193453,0.00004072507,0.0007800289],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.5304267,"threshold_uncertainty_score":0.8476916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1210382719743729,"score_gpt":0.3148430788474114,"score_spread":0.1938048068730385,"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."}}