{"id":"W2918010299","doi":"10.3386/w25576","title":"Experimental Evidence on the Effect of Information and Pricing on Residential Electricity Consumption","year":2019,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Energy Efficiency and Management","field":"Energy","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Consumption (sociology); Electricity; Economics; Electricity pricing; Environmental economics; Business; Econometrics; Agricultural economics; Electricity market; 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":[0.003139951,0.0006126308,0.0003897424,0.0003653609,0.0006070102,0.0009066966,0.0008751178,0.001145939,0.01285587],"category_scores_gemma":[0.01647647,0.0003764503,0.0004473947,0.0003186882,0.001845063,0.0008916023,0.0005712223,0.001196835,0.0008471818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008363549,"about_ca_system_score_gemma":0.0009331573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002727167,"about_ca_topic_score_gemma":0.002481468,"domain_scores_codex":[0.9967892,0.002040859,0.0001290236,0.0004052473,0.000462809,0.000172822],"domain_scores_gemma":[0.9495993,0.03938609,0.006592866,0.002803628,0.0009809431,0.0006373036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"nonrandomized_trial","study_design_gemma":"observational","study_design_scores_codex":[0.07272594,0.3737011,0.1481557,0.004269488,0.002423362,0.0007201408,0.003175372,0.01367688,0.08583822,0.04274117,0.01513025,0.2374424],"study_design_scores_gemma":[0.02200405,0.1623233,0.6147552,0.001040766,0.002879656,0.0005252821,0.00403457,0.02363696,0.09856696,0.03420389,0.03566095,0.0003682403],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9752798,0.0003912795,0.001545973,0.001426832,0.0001093016,0.0003356204,0.0004130259,0.00003843548,0.02045975],"genre_scores_gemma":[0.9907611,0.0005194821,0.002655111,0.0008444726,0.0001243017,0.0005163443,0.0003135585,0.00001432752,0.004251435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01285587,"threshold_uncertainty_score":0.04300714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2006118132289677,"score_gpt":0.4712689645566296,"score_spread":0.2706571513276619,"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."}}