{"id":"W2973177324","doi":"10.1016/j.procs.2019.08.060","title":"IoT Avatars: Mixed Reality Hybrid Objects for CoRe Ambient Intelligent Environments","year":2019,"lang":"en","type":"article","venue":"Procedia Computer Science","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario College of Art and Design","funders":"Canada Research Chairs","keywords":"Computer science; Human–computer interaction; Avatar; Testbed; Mixed reality; Internet of Things; Virtual reality; Bandwidth (computing); Multimedia; Embedded system; World Wide Web; Telecommunications","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":[0.0005155118,0.00068874,0.0003705056,0.000276824,0.0003730196,0.001836712,0.0009544757,0.0008323642,0.008047827],"category_scores_gemma":[0.0009035631,0.0002894745,0.0004754614,0.0002010046,0.0005301238,0.001878923,0.002734823,0.0007049587,0.002275212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001562005,"about_ca_system_score_gemma":0.0001576162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001830232,"about_ca_topic_score_gemma":0.0002870765,"domain_scores_codex":[0.9996608,0.0001232889,0.00001613677,0.00005160122,0.0001137908,0.00003431248],"domain_scores_gemma":[0.9997836,0.00005600879,0.00001601818,0.00005810024,0.00003842994,0.00004796574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009547558,0.0003631435,0.002369599,0.001284018,0.0001408297,0.002408657,0.007189623,0.01350409,0.2978688,0.2062197,0.02435552,0.4433412],"study_design_scores_gemma":[0.000152078,0.001362394,0.003161598,0.0004603006,0.0001848799,0.005339392,0.002588363,0.1406477,0.1032978,0.05962261,0.6829568,0.0002262288],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03936371,0.0008333056,0.9208412,0.0003284368,0.0003528446,0.0001716015,0.0001575978,0.003533823,0.03441744],"genre_scores_gemma":[0.4916689,0.0009758695,0.4630503,0.0003284116,0.00009841355,0.0003611554,0.0005286477,0.0009160519,0.04207219],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008047827,"threshold_uncertainty_score":0.02692264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0324450488777232,"score_gpt":0.271749150027598,"score_spread":0.2393041011498748,"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."}}