{"id":"W4387951187","doi":"10.1109/ccece58730.2023.10288846","title":"Indoor Testbed for Autonomous Localization Intelligent Control and Sensing","year":2023,"lang":"en","type":"article","venue":"","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Testbed; Fuse (electrical); Computer science; Sensor fusion; Real-time computing; Calibration; Suite; Wireless sensor network; Intelligent sensor; Embedded system; Artificial intelligence; Engineering; Electrical engineering; Computer network","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":[],"consensus_categories":[],"category_scores_codex":[0.00008508487,0.00007936799,0.00009688127,0.00008537691,0.00005031189,0.00003979886,0.00002008927,0.00005133871,0.000004736605],"category_scores_gemma":[0.00003698081,0.00007680928,0.0000198878,0.0001579646,0.00001206918,0.00003625758,0.000005345192,0.000027628,0.00001705417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000268497,"about_ca_system_score_gemma":0.000006822423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006955748,"about_ca_topic_score_gemma":0.00000956102,"domain_scores_codex":[0.9995611,0.00000598558,0.0001468508,0.0000983158,0.00005159654,0.0001361537],"domain_scores_gemma":[0.9997548,0.00007581021,0.00001156941,0.00006953721,0.0000445975,0.00004366576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004428143,0.000002895085,0.0002522208,0.00004566211,0.00001557426,0.000001414805,0.00007271881,0.983555,0.001615927,0.001976374,0.001136047,0.01132174],"study_design_scores_gemma":[0.0003283858,0.000021201,0.0001408523,0.000009742076,0.00001167728,0.000001578844,0.00005254029,0.9934508,0.003357182,0.0004524779,0.002075228,0.00009831254],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0140827,0.00003202692,0.9844549,0.0001071496,0.0001701196,0.0002644873,0.000004304552,0.0005244068,0.0003599547],"genre_scores_gemma":[0.9977277,0.00002584467,0.001846914,0.0001375329,0.0000511324,0.000004830721,0.00004570603,0.00002872261,0.0001316482],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.983645,"threshold_uncertainty_score":0.3132192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01297464645259049,"score_gpt":0.2190246522708752,"score_spread":0.2060500058182847,"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."}}