{"id":"W2110195535","doi":"10.1145/2470654.2466153","title":"Everyday activities and energy consumption","year":2013,"lang":"en","type":"article","venue":"","topic":"Environmental Education and Sustainability","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Consumption (sociology); Energy consumption; Artifact (error); Computer science; Energy (signal processing); Everyday life; Power consumption; Environmental economics; Power (physics); Engineering; Sociology; Artificial intelligence; Political science; Economics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007110057,0.0002240546,0.0002121395,0.001079985,0.0007923631,0.002877862,0.0002920974,0.0004390062,0.006119129],"category_scores_gemma":[0.003853509,0.0001445789,0.0002348056,0.001914491,0.001287904,0.001489865,0.001384923,0.0004502654,0.0004456071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000814667,"about_ca_system_score_gemma":0.0003687724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007623717,"about_ca_topic_score_gemma":0.009196948,"domain_scores_codex":[0.9988745,0.0005901488,0.00007595622,0.0001327737,0.0002008955,0.0001257705],"domain_scores_gemma":[0.997285,0.001226083,0.0007029229,0.0002019776,0.0002788107,0.0003051203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001825155,0.000456747,0.702113,0.0008063621,0.0002552306,0.000884949,0.07307173,0.001731565,0.001543498,0.03675501,0.005765782,0.1764335],"study_design_scores_gemma":[0.000008687695,0.0001137727,0.8393191,0.0004273873,0.00005013322,0.0007867977,0.0603856,0.0006733779,0.0003538467,0.01429454,0.08352581,0.00006100767],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8781189,0.004594554,0.003421634,0.001673306,0.00007408152,0.00006256104,0.0007985985,0.00004968985,0.1112065],"genre_scores_gemma":[0.9948708,0.001325113,0.0009715909,0.0001306212,0.00001813336,0.00002555378,0.0002151371,0.000008238973,0.002434882],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007623717,"threshold_uncertainty_score":0.02047056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005778596918488952,"score_gpt":0.2098246971605006,"score_spread":0.2040461002420116,"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."}}