{"id":"W2086061778","doi":"10.1016/j.enbuild.2012.07.013","title":"Quantification of uncertainty in predicting building energy consumption: A stochastic approach","year":2012,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Environmental science; Energy consumption; Econometrics; Uncertainty analysis; Computer science; Statistics; Engineering; Mathematics","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":[0.0002207706,0.0001493832,0.0001903684,0.0001907436,0.00006339256,0.00001649633,0.00008923638,0.0001305386,0.00001295993],"category_scores_gemma":[0.00001843548,0.0001554269,0.00003220456,0.0002559117,0.00005403338,0.0002742003,0.00003044615,0.00008396518,1.037055e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004168092,"about_ca_system_score_gemma":0.000007326052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001692558,"about_ca_topic_score_gemma":0.00001408895,"domain_scores_codex":[0.9991407,0.00002595559,0.0002832452,0.0001634505,0.000118171,0.0002684558],"domain_scores_gemma":[0.9996387,0.00006561761,0.00006836828,0.0001336858,0.00002289515,0.00007074502],"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":[0.00001184473,0.000036474,0.001933914,0.00004515787,0.00001988532,1.639584e-7,0.0001967046,0.8982183,0.005613863,0.08923659,0.00003352426,0.004653625],"study_design_scores_gemma":[0.0003655464,0.00001790598,0.002139946,0.0001099197,0.00002432413,0.00002156233,0.00005827233,0.99045,0.00503667,0.0004559435,0.001053083,0.0002668668],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4874966,0.001784583,0.509905,0.000007963367,0.0002179381,0.00002718775,0.000002239093,0.0001230519,0.0004353219],"genre_scores_gemma":[0.9951941,0.000234218,0.004335747,0.000020815,0.0001073209,0.00003183087,0.00002016051,0.00002387259,0.00003187399],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5076975,"threshold_uncertainty_score":0.6338124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01407533256477165,"score_gpt":0.2132711053667689,"score_spread":0.1991957728019972,"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."}}