{"id":"W3123374848","doi":"","title":"Default Effects and Follow-On Behavior: Evidence from an Electricity Pricing Program","year":2017,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Default; Electricity; Consumption (sociology); Context (archaeology); Revenue; Opt-in email; Business; Opt-out; Population; Economics; Electricity pricing; Microeconomics; Actuarial science; Electricity market; Advertising; Finance; Computer science; Engineering; Demography","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":[0.01440864,0.0003245231,0.0008028253,0.0004303556,0.0006795333,0.0008247111,0.001336279,0.002285011,0.008139909],"category_scores_gemma":[0.07824619,0.0003217612,0.001351423,0.0006896125,0.001763932,0.001165279,0.0009252117,0.002834049,0.00058149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005257522,"about_ca_system_score_gemma":0.0006039246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002496305,"about_ca_topic_score_gemma":0.001837889,"domain_scores_codex":[0.9832603,0.01330479,0.0005401215,0.001241868,0.001015996,0.0006368363],"domain_scores_gemma":[0.8466042,0.1095812,0.03047127,0.008852586,0.001667837,0.002822879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.1962095,0.1204911,0.3839535,0.002758369,0.007347592,0.0009127776,0.003767962,0.004219377,0.003317182,0.007250501,0.008927572,0.2608447],"study_design_scores_gemma":[0.02743899,0.110075,0.8137223,0.000803264,0.004666592,0.0005886034,0.001894204,0.01660472,0.003675871,0.01314732,0.007207368,0.0001757865],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937411,0.0008758955,0.0008934743,0.0007985858,0.00005287149,0.0002439603,0.0004239623,0.0000219056,0.00294833],"genre_scores_gemma":[0.9973928,0.0003910969,0.0005733563,0.0006165396,0.00005876266,0.0002145897,0.0002288155,0.000007687458,0.0005163215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01440864,"threshold_uncertainty_score":0.07620102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06826436017388055,"score_gpt":0.342637931393893,"score_spread":0.2743735712200125,"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."}}