{"id":"W3177164210","doi":"10.1145/3461778.3462030","title":"Designing a Multi-Agent Occupant Simulation System to Support Facility Planning and Analysis for COVID-19","year":2021,"lang":"en","type":"article","venue":"","topic":"Urban Design and Spatial Analysis","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Autodesk (Canada)","funders":"","keywords":"SAFER; Computer science; Transmission (telecommunications); Risk analysis (engineering); Forcing (mathematics); Coronavirus disease 2019 (COVID-19); Perspective (graphical); Occupancy; Process management; Systems engineering; Human–computer interaction; Architectural engineering; Computer security; Engineering; Business; Artificial intelligence; Telecommunications","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":[0.0002953443,0.0001394883,0.0003275361,0.0002131178,0.0001099193,0.00007374303,0.00005205351,0.00005934033,0.00008957753],"category_scores_gemma":[0.0001406989,0.0001333848,0.000149519,0.0005671135,0.000006822886,0.00006274536,0.00002401934,0.00004344206,0.00001069161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001638971,"about_ca_system_score_gemma":0.00003573074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000968339,"about_ca_topic_score_gemma":0.0001678622,"domain_scores_codex":[0.9990448,0.00004060417,0.0002946533,0.000284283,0.0001289231,0.000206707],"domain_scores_gemma":[0.9992564,0.0001924739,0.00002479996,0.0001822558,0.0000721891,0.0002719299],"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":[0.00001237834,0.000009336673,0.03985029,0.0001561847,0.0005560679,0.00001886752,0.0007298584,0.9553684,0.002548978,0.00001062051,0.0001957512,0.0005432434],"study_design_scores_gemma":[0.0002731144,0.00002245744,0.003354566,0.000006089314,0.000536708,0.000001482838,0.0006358392,0.9923659,0.001649399,0.000001534677,0.0009771204,0.0001757733],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04799939,0.0000989153,0.9512455,0.00002379443,0.00003532675,0.0002084866,0.00007162297,0.0002505995,0.00006640182],"genre_scores_gemma":[0.9722068,0.000001146316,0.02713909,0.0001225825,0.00001597253,0.00003716142,0.0001182941,0.000009082568,0.0003498388],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9242074,"threshold_uncertainty_score":0.5439277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08485633640268662,"score_gpt":0.3093526030758662,"score_spread":0.2244962666731796,"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."}}