{"id":"W3196963651","doi":"10.2139/ssrn.3858877","title":"Price Elasticity and Beyond: The Determinants of Residential Electricity Consumption in New York","year":2021,"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":"HEC Montréal","funders":"","keywords":"Economics; Elasticity (physics); Price elasticity of demand; Electricity; Consumption (sociology); Price elasticity of supply; Agricultural economics; Microeconomics; Engineering; Materials science; Sociology; Electrical 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":[0.0002290251,0.00007497353,0.0002021703,0.0004398654,0.0002889713,0.001020305,0.0003043663,0.0003821084,0.006853458],"category_scores_gemma":[0.001597333,0.0001631047,0.0002107146,0.001128053,0.0003516197,0.001266288,0.000478445,0.00108033,0.0002905298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00136707,"about_ca_system_score_gemma":0.0008202357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.19909,"about_ca_topic_score_gemma":0.4009712,"domain_scores_codex":[0.9998727,0.0000234811,0.000008122113,0.00002671698,0.00002698923,0.0000420727],"domain_scores_gemma":[0.9986445,0.000695688,0.0003039978,0.00004822345,0.0001157313,0.0001918237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001813678,0.0001647332,0.9682006,0.00003956225,0.0001042632,0.0003477544,0.001398599,0.003095174,0.0007765136,0.01321025,0.003797973,0.00868309],"study_design_scores_gemma":[0.000005683071,0.0000161132,0.9868639,0.00001760647,0.00002993921,0.00004074557,0.002178487,0.004638242,0.0001855301,0.001917342,0.004094321,0.00001207197],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900843,0.0005194967,0.0003646445,0.001710908,0.00002044928,0.000005969257,0.0008742921,0.000007206385,0.006412812],"genre_scores_gemma":[0.9964364,0.0003330265,0.00005074855,0.00003764047,0.00002429319,0.000003786171,0.0003965986,0.000005289915,0.002712239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.19909,"threshold_uncertainty_score":0.3958625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01118501563690602,"score_gpt":0.2377731335051554,"score_spread":0.2265881178682494,"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."}}