{"id":"W4210566926","doi":"10.1145/3486898","title":"Building Occupancy Simulation and Analysis under Virus Scenarios","year":2022,"lang":"en","type":"article","venue":"ACM Transactions on Spatial Algorithms and Systems","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Occupancy; Transmission (telecommunications); Computer science; Building science; Coronavirus disease 2019 (COVID-19); Architectural engineering; Risk analysis (engineering); Model building; Building design; Pandemic; Business; Engineering; Telecommunications; Infectious disease (medical specialty)","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":[0.0001157297,0.0001272042,0.0001859134,0.0002512397,0.0004184206,0.00006770871,0.00007501209,0.00005477625,0.00004525478],"category_scores_gemma":[0.000002256195,0.0001338981,0.0000531742,0.0004175541,0.00001455398,0.0001052855,0.000007658967,0.0001622835,3.493265e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005766294,"about_ca_system_score_gemma":0.000006653273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000803816,"about_ca_topic_score_gemma":0.00007581137,"domain_scores_codex":[0.9992531,0.00004134691,0.0001986629,0.0001947534,0.0001756481,0.0001364864],"domain_scores_gemma":[0.9996284,0.00007134122,0.00003212684,0.0001923682,0.00001963707,0.00005618992],"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":[0.00000930334,0.00001882551,0.0001148059,0.00001287617,0.0002026892,0.00000120785,0.00009166407,0.9721636,0.0001042711,0.0001047842,0.000002612189,0.02717333],"study_design_scores_gemma":[0.0002172665,0.00004838213,0.0006560442,0.000006714228,0.0001603501,0.00000617885,0.00009085004,0.9979798,0.0000579889,0.00007549388,0.0005458053,0.0001551387],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08834396,0.0003205506,0.9105591,0.00002172767,0.000425679,0.0001111076,0.0000491804,0.0001480519,0.00002066164],"genre_scores_gemma":[0.9968531,0.00006650396,0.002852384,0.00002164904,0.00004407806,0.00006391536,0.00001883357,0.00002001083,0.00005957678],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9085091,"threshold_uncertainty_score":0.5460207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01826903400146047,"score_gpt":0.2464341287082658,"score_spread":0.2281650947068053,"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."}}