{"id":"W4399801035","doi":"10.1109/ichms59971.2024.10555610","title":"Mixed Reality IoT Smart Environments with Large Language Model Agents","year":2024,"lang":"en","type":"article","venue":"","topic":"Robotics and Automated Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario College of Art and Design","funders":"Canada Research Chairs","keywords":"Computer science; Mixed reality; Human–computer interaction; Internet of Things; Augmented reality; Computer security","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001587097,0.000625411,0.0004026518,0.0002627468,0.0008829912,0.002782171,0.001777495,0.001334728,0.003207768],"category_scores_gemma":[0.00357325,0.0005090791,0.0008094585,0.000183855,0.001313041,0.003604815,0.004605514,0.001655579,0.001096027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006773149,"about_ca_system_score_gemma":0.000986097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002265083,"about_ca_topic_score_gemma":0.00374456,"domain_scores_codex":[0.9987748,0.0005403146,0.00007948419,0.0001639218,0.0003457615,0.00009560241],"domain_scores_gemma":[0.9987783,0.0005329131,0.0001001783,0.0002715903,0.0001736527,0.00014351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007006931,0.000734844,0.002878216,0.000428709,0.0001696099,0.001584841,0.006655073,0.2171845,0.04096491,0.5841608,0.01241809,0.1321197],"study_design_scores_gemma":[0.0001227547,0.000192653,0.0001906027,0.00005532423,0.00004834539,0.0002311483,0.0004659938,0.8732542,0.01192899,0.05494091,0.05850464,0.00006441047],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03278238,0.0001529703,0.9463215,0.0007203086,0.0000837766,0.0002400925,0.00008793807,0.003979139,0.01563194],"genre_scores_gemma":[0.4259036,0.0001720879,0.5590971,0.0003671403,0.00004030256,0.0006024227,0.0002815031,0.0003256006,0.01321021],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003207768,"threshold_uncertainty_score":0.01073104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01939706180326574,"score_gpt":0.2267828918030744,"score_spread":0.2073858299998086,"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."}}