{"id":"W2971096177","doi":"10.1109/sescps.2019.00011","title":"BIM Sim/3D: Multi-Agent Human Activity Simulation in Indoor Spaces","year":2019,"lang":"en","type":"article","venue":"","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Human–computer interaction; Embedded system","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":[0.0007144749,0.0006762588,0.0005102329,0.0004092572,0.0004391027,0.001008462,0.001487461,0.0009012407,0.004888174],"category_scores_gemma":[0.001891496,0.0004344016,0.0008069686,0.0003486836,0.0008350127,0.0005967111,0.001589213,0.0007673238,0.0006378328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005111994,"about_ca_system_score_gemma":0.0009700214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008883296,"about_ca_topic_score_gemma":0.009062297,"domain_scores_codex":[0.999662,0.0001541832,0.00001786597,0.00004643303,0.00008919917,0.00003025313],"domain_scores_gemma":[0.999402,0.0003471806,0.00003321019,0.00008721694,0.00005397398,0.00007632573],"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":[0.0001478976,0.0001510851,0.001949129,0.0001273185,0.00005190723,0.000106085,0.0003719297,0.9678681,0.003359599,0.007670605,0.001677019,0.01651933],"study_design_scores_gemma":[0.00003099918,0.00003842503,0.0003551765,0.000007059722,0.000006222001,0.00002158362,0.00004474161,0.9931458,0.001801064,0.001925916,0.002612396,0.00001055838],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1291496,0.0001184547,0.8503625,0.0003266313,0.0001133622,0.0003795405,0.001780528,0.008250776,0.009518672],"genre_scores_gemma":[0.7142234,0.0001533281,0.2813204,0.00008802389,0.0000175153,0.0004998342,0.001218536,0.0004824038,0.001996489],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008883296,"threshold_uncertainty_score":0.01766318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06230726359197811,"score_gpt":0.4290917811882007,"score_spread":0.3667845175962225,"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."}}