{"id":"W4213009512","doi":"10.1093/restud/rdab018","title":"Default Effects And Follow-On Behaviour: Evidence From An Electricity Pricing Program","year":2021,"lang":"en","type":"article","venue":"The Review of Economic Studies","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":88,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Lawrence Berkeley National Laboratory; Office of Electricity; Office of Electricity Delivery and Energy Reliability; U.S. Department of Energy","keywords":"Default; Consumption (sociology); Electricity; Context (archaeology); Economics; Welfare; Microeconomics; Sample (material); Business; Finance; Market economy; 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":[0.01511779,0.0002505912,0.001162127,0.0004948166,0.0005618936,0.000979319,0.001115098,0.002015387,0.009258088],"category_scores_gemma":[0.09980259,0.000257824,0.001888188,0.00139498,0.001260314,0.00115899,0.0008061854,0.002877255,0.0004569381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006649094,"about_ca_system_score_gemma":0.0007185161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002736337,"about_ca_topic_score_gemma":0.001906662,"domain_scores_codex":[0.9798592,0.01607609,0.0009312386,0.001154648,0.001452724,0.0005260768],"domain_scores_gemma":[0.8288956,0.1322012,0.02905298,0.005256439,0.002628202,0.001965563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.1222799,0.03437792,0.3552495,0.01278831,0.02059828,0.0009192431,0.003237908,0.002682091,0.001038228,0.008423957,0.01073722,0.4276674],"study_design_scores_gemma":[0.01601474,0.04833262,0.8710234,0.005736946,0.01512221,0.0006914766,0.002050726,0.00883572,0.001669943,0.01642324,0.0139167,0.0001824052],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9713869,0.01790695,0.001604701,0.002464997,0.0001974137,0.0003128261,0.0008417803,0.00002589716,0.005258526],"genre_scores_gemma":[0.9943625,0.0034562,0.0004448692,0.0007199799,0.0001244738,0.0001657726,0.0002364909,0.000008524122,0.0004812808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01511779,"threshold_uncertainty_score":0.07995147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06464969107254369,"score_gpt":0.3207642778810029,"score_spread":0.2561145868084592,"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."}}