{"id":"W4408715489","doi":"10.1109/itsc58415.2024.10919722","title":"Enhancing Indoor Mobility with Connected Sensor Nodes: A Real-Time, Delay-Aware Cooperative Perception Approach","year":2024,"lang":"en","type":"article","venue":"","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Perception; Wireless sensor network; Real-time computing; Computer network","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":[0.0004837319,0.0009908259,0.0006007147,0.0005865425,0.0004135279,0.0006444631,0.002007415,0.0005772744,0.0007175711],"category_scores_gemma":[0.001475019,0.0003904218,0.0004861465,0.0007258049,0.0003343404,0.001578624,0.001546488,0.0006515411,0.0004526096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004657054,"about_ca_system_score_gemma":0.0005843583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002393463,"about_ca_topic_score_gemma":0.003890243,"domain_scores_codex":[0.9995408,0.00007341088,0.00001809871,0.0001555964,0.0001373242,0.00007479056],"domain_scores_gemma":[0.9993535,0.0001606763,0.00009810873,0.0001475842,0.0001785336,0.00006153127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005735407,0.0003499227,0.006366856,0.0004714926,0.0002340517,0.0006424081,0.000867732,0.3037358,0.2126641,0.009754806,0.005980925,0.4583584],"study_design_scores_gemma":[0.00003685246,0.000352343,0.002464178,0.00002227628,0.0001062706,0.0004976686,0.0002985754,0.938502,0.04060749,0.005104812,0.01195186,0.00005571331],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03768938,0.0006111225,0.9582767,0.0001619176,0.0001075161,0.00004498292,0.00009375505,0.001406952,0.001607593],"genre_scores_gemma":[0.7579003,0.0005524376,0.2378857,0.0001153702,0.0001045962,0.00008463369,0.0003130239,0.000136601,0.002907356],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002393463,"threshold_uncertainty_score":0.004759133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00718205717042513,"score_gpt":0.21349494697694,"score_spread":0.2063128898065148,"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."}}