{"id":"W3165088215","doi":"10.2139/ssrn.3235208","title":"The Energy Efficiency Rebound Effect in General Equilibrium","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; Global Affairs Canada","funders":"","keywords":"Stylized fact; General equilibrium theory; Computable general equilibrium; Economics; Partial equilibrium; Rebound effect (conservation); Channel (broadcasting); Econometrics; Efficient energy use; Macroeconomics; Computer science; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.002092823,0.000869208,0.002617057,0.001026711,0.00135626,0.00251614,0.001669269,0.00271327,0.03201147],"category_scores_gemma":[0.008260633,0.0006538545,0.001591734,0.001341671,0.002372466,0.005184248,0.0019613,0.002861707,0.001280578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002274557,"about_ca_system_score_gemma":0.001741196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01106562,"about_ca_topic_score_gemma":0.008587828,"domain_scores_codex":[0.9990934,0.0003062434,0.00002731332,0.0001470558,0.0000993967,0.0003265788],"domain_scores_gemma":[0.9965527,0.00230981,0.0003141103,0.0003086753,0.0002990338,0.0002157192],"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":[0.0001850974,0.000060462,0.000369485,0.0001728501,0.00007463891,0.0001567568,0.0001016881,0.03470128,0.000510966,0.9494574,0.008516052,0.005693355],"study_design_scores_gemma":[0.00007427173,0.00004443109,0.0007394282,0.00004375589,0.00003636971,0.00005919088,0.0001529084,0.04120041,0.0002178729,0.9525301,0.00487786,0.00002350338],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2587067,0.005871902,0.2007316,0.03310798,0.001215731,0.0001346457,0.001494827,0.0008778683,0.4978589],"genre_scores_gemma":[0.9487314,0.002190114,0.003987865,0.001714447,0.0003833899,0.00007229821,0.0001476916,0.0001487356,0.04262414],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03201147,"threshold_uncertainty_score":0.107089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004528300656329897,"score_gpt":0.2260623475555601,"score_spread":0.2215340468992302,"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."}}