{"id":"W2026838269","doi":"10.1016/j.eneco.2007.01.006","title":"Hybrid modeling of industrial energy consumption and greenhouse gas emissions with an application to Canada","year":2007,"lang":"en","type":"article","venue":"Energy Economics","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":62,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Greenhouse gas; Order (exchange); Energy consumption; Strengths and weaknesses; Economics; Secondary sector of the economy; Consumption (sociology); Environmental economics; Carbon tax; Energy sector; Economy; Environmental science; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000305802,0.0001787708,0.0003722168,0.0002239945,0.0001040692,0.00003382313,0.0001671286,0.0001017709,0.00004525776],"category_scores_gemma":[0.00001743829,0.0002229396,0.00003266279,0.00006511353,0.00003768416,0.0001708183,0.00006230789,0.00007709243,0.000002784561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002847126,"about_ca_system_score_gemma":0.00007640862,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4126488,"about_ca_topic_score_gemma":0.6866642,"domain_scores_codex":[0.9985455,0.000006443274,0.0006762483,0.0004295773,0.00001687617,0.0003253651],"domain_scores_gemma":[0.998958,0.00005039771,0.0003259572,0.0003526213,0.00002142705,0.0002915936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009620199,0.0003182649,0.1186883,0.00004895734,0.0002443381,0.000008445501,0.0008395985,0.1136443,0.00009041152,0.6936467,0.0006126714,0.07089608],"study_design_scores_gemma":[0.002171874,0.0003705433,0.0006015471,0.00003705667,0.00002624755,0.00004368677,0.0004034275,0.8921931,0.002561694,0.0244642,0.07599968,0.001126894],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9624601,0.0001310094,0.03475171,0.000236019,0.0001624456,0.00007847835,0.0003097042,0.00002083064,0.001849682],"genre_scores_gemma":[0.9977969,0.0005499375,0.0006555535,0.0005093356,0.0002478907,0.00001986459,0.0001139143,0.0000403393,0.00006629365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7785489,"threshold_uncertainty_score":0.9091214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06889851676064183,"score_gpt":0.226603061262262,"score_spread":0.1577045445016201,"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."}}