{"id":"W4389541210","doi":"10.17118/11143/20840","title":"Energy saving in a residential building using occupancyinformation","year":2023,"lang":"en","type":"article","venue":"","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Occupancy; Energy (signal processing); Computer science; Architectural engineering; Post-occupancy evaluation; Statistics; Engineering; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000118415,0.0002560831,0.0002182725,0.0001770623,0.0001740117,0.0004168917,0.000345218,0.0001446304,0.001617849],"category_scores_gemma":[0.000167918,0.0001214185,0.0001923597,0.0002677382,0.0001643668,0.0002658883,0.0002494998,0.0001053303,0.0001404066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007523427,"about_ca_system_score_gemma":0.0005608823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03466426,"about_ca_topic_score_gemma":0.05395429,"domain_scores_codex":[0.9999019,0.00002056138,0.000002719085,0.00001300895,0.00004300458,0.0000187548],"domain_scores_gemma":[0.9999471,0.00002105862,0.00000707099,0.000006533338,0.0000141134,0.000004200513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0003590145,0.000211521,0.01725821,0.00008228751,0.00006690935,0.0001324839,0.0001025902,0.9001252,0.01957003,0.00125616,0.0005062438,0.0603292],"study_design_scores_gemma":[0.00002116816,0.0001706877,0.02761702,0.000007598709,0.00005552803,0.00007185752,0.00009592353,0.9575812,0.01242954,0.0006110383,0.001318389,0.00001997872],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.935511,0.0000991279,0.05662171,0.00005622448,0.000009112042,0.00002570293,0.0001533424,0.0003537186,0.007170078],"genre_scores_gemma":[0.9970946,0.00001763254,0.00215476,0.000002532272,6.532136e-7,0.000003548114,0.00003460442,0.000004531262,0.0006871502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03466426,"threshold_uncertainty_score":0.06892502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01348484871343624,"score_gpt":0.2301185653068644,"score_spread":0.2166337165934281,"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."}}