{"id":"W2188688705","doi":"","title":"POST-OCCUPANCY EVALUATION AND PARTIAL-CALIBRATION OF 18 DESIGN-PHASE ENERGY MODELS","year":2014,"lang":"en","type":"article","venue":"","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Calibration; Energy (signal processing); Energy consumption; Phase (matter); Process (computing); Sensitivity (control systems); Computer science; Statistics; Environmental science; Simulation; Reliability engineering; Mathematics; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004518853,0.000932724,0.0009378939,0.0005780763,0.0005517803,0.0008719097,0.001150229,0.000606686,0.001835891],"category_scores_gemma":[0.01058474,0.0007111236,0.0008413053,0.000636854,0.0003421228,0.0009109157,0.0007242285,0.0008036531,0.0003687099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001437545,"about_ca_system_score_gemma":0.001535231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01905738,"about_ca_topic_score_gemma":0.01579803,"domain_scores_codex":[0.9982513,0.0007930638,0.0001242374,0.0002538236,0.0004252733,0.000152265],"domain_scores_gemma":[0.9932323,0.003267605,0.0004211628,0.001260105,0.001687185,0.0001316876],"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":[0.0003710689,0.0002889727,0.01920778,0.00005308687,0.00005092244,0.00003028638,0.0001173992,0.9417287,0.002227901,0.0004602313,0.000440829,0.03502301],"study_design_scores_gemma":[0.000054794,0.0002823472,0.005431463,0.000009394435,0.00002511963,0.00002143125,0.00005913349,0.9870299,0.00595286,0.0002112822,0.000897553,0.00002488581],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9428917,0.00006801425,0.05168531,0.00006718437,0.00002770692,0.0001043761,0.0006647151,0.001437958,0.003053151],"genre_scores_gemma":[0.9875494,0.00002305194,0.01125265,0.00001019649,0.000002856519,0.00004581201,0.0005256983,0.00008261542,0.0005077652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01905738,"threshold_uncertainty_score":0.03789294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03162597171289666,"score_gpt":0.2575743886630622,"score_spread":0.2259484169501655,"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."}}