{"id":"W2749433846","doi":"10.1016/j.apenergy.2017.08.150","title":"An assessment framework to quantify the interaction between the built environment and the electricity grid","year":2017,"lang":"en","type":"article","venue":"Applied Energy","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Electricity; Environmental economics; Metric (unit); Sustainability; Peak demand; Grid; Electricity generation; Environmental science; Environmental resource management; Computer science; Engineering; Operations management; Economics; Mathematics; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023753,0.0001143215,0.0001028432,0.00001750148,0.0006337801,0.0001851378,0.0004038179,0.00006866876,0.00001164458],"category_scores_gemma":[0.000006963433,0.00005930521,0.00002511303,0.00004257168,0.00007049819,0.00007058938,0.00007512623,0.0002128458,0.000001775131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000364199,"about_ca_system_score_gemma":0.000004499266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002447542,"about_ca_topic_score_gemma":0.00003761235,"domain_scores_codex":[0.9994313,0.00003220284,0.0001182866,0.0001405551,0.0001278459,0.0001498232],"domain_scores_gemma":[0.9991122,0.000151694,0.00005114976,0.0006441117,0.000004843696,0.0000359573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001521713,0.000008871996,0.0003230088,0.000001656453,0.00004912783,1.408917e-7,0.0001081504,0.7975292,0.0002268616,0.1650503,0.000220032,0.03646751],"study_design_scores_gemma":[0.001119489,0.0001312575,0.07251936,0.00003646107,0.0002204235,0.000006357498,0.0002905564,0.7151519,0.01731731,0.04482154,0.1476005,0.0007848412],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2418233,0.00008520126,0.7514641,0.001880728,0.0003850774,0.0001811672,0.000002560883,0.0001125541,0.004065346],"genre_scores_gemma":[0.9975749,0.0002217546,0.001389489,0.0002920804,0.0003476868,0.0001271454,0.000008420086,0.00001922416,0.00001924642],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7557517,"threshold_uncertainty_score":0.4874589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01240359944514037,"score_gpt":0.2655898207204456,"score_spread":0.2531862212753052,"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."}}