{"id":"W1585588580","doi":"10.1080/09613218.2015.1036227","title":"Learning from failure: understanding the anticipated–achieved building energy performance gap","year":2015,"lang":"en","type":"article","venue":"Building Research & Information","topic":"Sustainable Building Design and Assessment","field":"Engineering","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia Hospital; University of British Columbia","funders":"","keywords":"Sustainability; Key (lock); Energy (signal processing); Architectural engineering; Energy performance; Building science; Efficient energy use; Building design; Computer science; Process management; Business; Environmental economics; Engineering; Economics; Computer security","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002965683,0.000242637,0.0002088785,0.0005190999,0.000743959,0.0007520936,0.0005206924,0.000145151,0.000026737],"category_scores_gemma":[0.0004722539,0.0002013842,0.00006075961,0.001045124,0.0001119237,0.00205983,0.000192404,0.0008956836,0.00004958983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001343134,"about_ca_system_score_gemma":0.0001921663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002941096,"about_ca_topic_score_gemma":0.000009017116,"domain_scores_codex":[0.9970341,0.0002376369,0.0004635096,0.0001873559,0.001164786,0.0009126512],"domain_scores_gemma":[0.9985659,0.0004482449,0.00008794225,0.0003498284,0.0003204934,0.0002276655],"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":[0.0001017071,0.0000272503,0.003747998,0.000194773,0.0001620009,0.00001218833,0.007678581,0.8909678,0.008783137,0.04840555,0.01492905,0.02498995],"study_design_scores_gemma":[0.0009060138,0.0001698726,0.0006769761,0.0002441688,0.00001905723,0.00001046116,0.01634761,0.9198073,0.007067577,0.006483474,0.04783397,0.0004334782],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6746765,0.0002085226,0.3181974,0.0003142479,0.0003718557,0.0003032524,0.000003248228,0.0006061462,0.00531875],"genre_scores_gemma":[0.997088,0.0001242573,0.002271922,0.0000477977,0.0002222873,0.00007486764,0.00004406969,0.00004051377,0.00008633692],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3224114,"threshold_uncertainty_score":0.821221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1081244641109703,"score_gpt":0.3163705057393155,"score_spread":0.2082460416283451,"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."}}