{"id":"W2062390995","doi":"10.1145/2702123.2702364","title":"Designing Persuasive Technology to Manage Peak Electricity Demand in Ontario Homes","year":2015,"lang":"en","type":"article","venue":"","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electricity; Sustainability; Air conditioning; Context (archaeology); Environmental economics; Electricity demand; Peak demand; Demand response; Electricity pricing; Computer science; Architectural engineering; Electricity generation; Power (physics); Business; Electricity market; Economics; Engineering; Electrical engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004090287,0.0001548693,0.0001978282,0.001565404,0.00007810273,0.00006794385,0.0008665505,0.0001725119,0.00003006709],"category_scores_gemma":[0.0002377731,0.0001499843,0.00002251665,0.001829035,0.0000553063,0.0005201508,0.0004027642,0.0005125393,0.0002049539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001016416,"about_ca_system_score_gemma":0.0001609509,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0048996,"about_ca_topic_score_gemma":0.07410527,"domain_scores_codex":[0.998676,0.00004595248,0.0002347786,0.0004739576,0.0001736715,0.000395651],"domain_scores_gemma":[0.9991625,0.00004487994,0.00007859002,0.0004330813,0.0002190831,0.00006189771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009474651,0.0003435934,0.08697726,0.00001252328,0.00009770886,0.0006256293,0.0183802,0.0003632979,0.03026532,0.8258254,0.00888867,0.02812568],"study_design_scores_gemma":[0.004618366,0.004017529,0.08937643,0.0001485337,0.00002926219,0.0008853769,0.009167842,0.01457504,0.5485508,0.2719728,0.05414575,0.002512303],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.438752,0.00001953605,0.5465322,0.002837258,0.0001674625,0.000223139,6.808681e-8,0.0003705556,0.01109776],"genre_scores_gemma":[0.9186918,7.578844e-7,0.07857201,0.0006475066,0.00001059716,0.00004410839,6.937103e-7,0.000007316242,0.002025267],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5538526,"threshold_uncertainty_score":0.9427899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02931328604116247,"score_gpt":0.2817289645716882,"score_spread":0.2524156785305257,"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."}}