{"id":"W4367662895","doi":"10.1109/vrw58643.2023.00123","title":"Designing Prototype XRI Workspaces with Mixed Reality and IoT Devices for Immersive Adaptive Environments","year":2023,"lang":"en","type":"article","venue":"","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario College of Art and Design","funders":"Canada Excellence Research Chairs, Government of Canada","keywords":"Workspace; Computer science; Human–computer interaction; Internet of Things; Embodied cognition; Focus (optics); Mixed reality; Context (archaeology); Domain (mathematical analysis); Architecture; Process (computing); Virtual reality; Multimedia; World Wide Web; Robot; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002523965,0.0001133331,0.0001142679,0.00005563431,0.0002268784,0.00006554063,0.0002952047,0.00004545276,0.000002657055],"category_scores_gemma":[0.00001092235,0.00008839458,0.00001993124,0.00035891,0.00008256081,0.0001857214,0.0001600339,0.0000622672,0.00001991312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003370399,"about_ca_system_score_gemma":0.00003170515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006348813,"about_ca_topic_score_gemma":0.0001274525,"domain_scores_codex":[0.9990371,0.00004498687,0.0001166173,0.0004040374,0.0001665595,0.0002307168],"domain_scores_gemma":[0.9992945,0.0002109432,0.00009018841,0.0002997874,0.0000248385,0.00007975243],"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":[0.001305394,0.001049853,0.02165929,0.0005978809,0.002021612,0.00005710237,0.02530827,0.02457217,0.05203539,0.6179223,0.02574564,0.2277251],"study_design_scores_gemma":[0.004989999,0.003280665,0.1774004,0.0004402989,0.000240895,0.00003703436,0.02208684,0.5885749,0.1363412,0.03048832,0.03370748,0.002412116],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00385043,0.00002232287,0.9915184,0.002374083,0.00001618143,0.001569501,0.000007180133,0.00009245003,0.0005494566],"genre_scores_gemma":[0.8319657,0.00002161415,0.165462,0.0001960304,0.00002393126,0.001437553,0.00001805902,0.00001566498,0.0008594273],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8281153,"threshold_uncertainty_score":0.3604626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04460191743179352,"score_gpt":0.2742225224730511,"score_spread":0.2296206050412576,"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."}}