{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001204765,0.0004466469,0.0006663586,0.0007139651,0.0004636814,0.0007147769,0.001318525,0.001122249,0.001614866],"category_scores_gemma":[0.003316169,0.0004470366,0.000828426,0.0007473144,0.0006470769,0.0006622548,0.000812052,0.0007385084,0.0001619783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001068158,"about_ca_system_score_gemma":0.0007759195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02408991,"about_ca_topic_score_gemma":0.01762846,"domain_scores_codex":[0.9992957,0.0003400754,0.00002937153,0.00007445791,0.00009924952,0.000161024],"domain_scores_gemma":[0.997438,0.001794241,0.0001726603,0.0002099167,0.0002269906,0.0001582547],"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":[0.00002007588,0.00001899737,0.00133073,0.000007835039,0.000008073435,0.00001269844,0.00002468761,0.9970424,0.0001361331,0.0007000315,0.00005043554,0.000648029],"study_design_scores_gemma":[0.000003091577,0.000009384422,0.0003173143,0.000001517579,0.000002525039,0.000004291436,0.00001771851,0.9992216,0.0001095141,0.0002474304,0.00006297103,0.000002658435],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9250861,0.0001563148,0.06762826,0.0002338369,0.00002582481,0.00007206075,0.0006198846,0.0002782526,0.00589953],"genre_scores_gemma":[0.9914997,0.00004840254,0.007632412,0.00001597487,0.000004418815,0.00003622228,0.0002577625,0.00002117232,0.0004840164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02408991,"threshold_uncertainty_score":0.04789937,"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."}}