{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001950791,0.0001206789,0.000161024,0.0002185424,0.0000600645,0.0000375575,0.0000925247,0.0001211513,0.04266331],"category_scores_gemma":[0.00001949936,0.0001113596,0.00005577187,0.0001374515,0.00001862703,0.0002163691,0.00002672569,0.0001963426,0.006920434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008511682,"about_ca_system_score_gemma":0.000009076844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004354383,"about_ca_topic_score_gemma":0.0007162881,"domain_scores_codex":[0.9990297,0.0001268479,0.0002490472,0.0002766284,0.0001303888,0.0001874068],"domain_scores_gemma":[0.9993684,0.0001434955,0.0001122163,0.0002840866,0.00004209573,0.00004965199],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005669171,0.00384511,0.8281295,0.00008172961,0.0002536478,0.00003178729,0.02060342,0.04017742,0.01601711,0.04284134,0.004094942,0.04335712],"study_design_scores_gemma":[0.002109532,0.00007779132,0.8965278,0.00001370127,0.000004832259,0.000001514631,0.0008520093,0.07255034,0.0003333172,0.00007681602,0.02724139,0.0002109075],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9233313,0.000004892959,0.003960156,0.0002411373,0.0008412399,0.0003368711,0.000002797089,0.0001481282,0.07113349],"genre_scores_gemma":[0.9602613,5.428707e-7,0.0001511154,0.0003105084,0.00005090993,0.00001987888,0.00001029873,0.00001400382,0.03918147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06839839,"threshold_uncertainty_score":0.9938528,"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."}}