{"id":"W4283696359","doi":"10.1038/s41597-022-01475-3","title":"A Global Building Occupant Behavior Database","year":2022,"lang":"en","type":"article","venue":"Scientific Data","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Carleton University","funders":"Dr B R Ambedkar National Institute of Technology Jalandhar; Università degli Studi di Perugia; Indian Institute of Technology Bombay; Università della Calabria; U.S. Department of Energy; Tongji University; Silesian University of Technology; Colorado School of Mines; RMIT University; Tsinghua University; Universidade de São Paulo; Technische Universität Wien; Aalborg Universitet; Universidade Federal de Santa Catarina; Center for the Built Environment; Swinburne University of Technology; University of Toronto; University of New South Wales; Khalifa University of Science, Technology and Research; Western Kentucky University; American Society of Heating, Refrigerating and Air-Conditioning Engineers; Beijing University of Technology; University of Texas at Austin; University of Texas at Arlington; Syddansk Universitet; National Science Foundation","keywords":"Database; Computer science; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000450676,0.00007916468,0.00006488365,0.00006407691,0.0004344901,0.0001491997,0.001111181,0.00001448714,0.000407853],"category_scores_gemma":[0.00001409412,0.00008858818,0.00001603489,0.0006391965,0.00003970299,0.0003595956,0.001173337,0.00008799628,0.0000069089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007897307,"about_ca_system_score_gemma":0.0000348694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000249667,"about_ca_topic_score_gemma":0.00002720572,"domain_scores_codex":[0.9989998,0.00001751155,0.000123369,0.0003692044,0.0002833524,0.0002067794],"domain_scores_gemma":[0.9985515,0.000006719913,0.00001832554,0.001357647,0.00001151889,0.00005431145],"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":[0.000004696588,0.0000670886,0.0009948158,0.00001320462,0.00001493113,0.00002612962,0.00002493171,0.7211222,0.00189916,0.002998675,0.2632975,0.009536622],"study_design_scores_gemma":[0.0001718214,0.000007878924,0.000357145,0.000006618412,0.00003380093,0.00003710168,0.00005609501,0.6666052,0.0002734477,0.0001104035,0.3321218,0.0002186922],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.702877,0.00147551,0.202695,0.0001094824,0.02397229,0.0005852488,0.0622518,0.002260923,0.003772752],"genre_scores_gemma":[0.9713627,0.000005066748,0.01434284,0.00003580967,0.00006041011,0.00005686831,0.01365097,0.00001926086,0.0004660546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2684857,"threshold_uncertainty_score":0.4465704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03695447322705658,"score_gpt":0.2720786608106723,"score_spread":0.2351241875836157,"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."}}