{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000800217,0.0006026355,0.0005161021,0.0005833163,0.0004984827,0.0004690277,0.001116922,0.0003882369,0.007151725],"category_scores_gemma":[0.000492954,0.0001780422,0.0002930807,0.0004514501,0.0004435236,0.0004700744,0.0009002885,0.0005573194,0.001925529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005513403,"about_ca_system_score_gemma":0.001069214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00270435,"about_ca_topic_score_gemma":0.003155755,"domain_scores_codex":[0.9994537,0.0001025642,0.00002384008,0.0001009426,0.000187935,0.0001310928],"domain_scores_gemma":[0.9994965,0.00006822644,0.00004732132,0.000125017,0.00009988121,0.0001631663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003316964,0.003407966,0.01375359,0.001169617,0.000186153,0.001873853,0.0006652173,0.1721178,0.4868009,0.04452934,0.05084603,0.2213326],"study_design_scores_gemma":[0.00105275,0.007306405,0.02382177,0.0001471793,0.0001122976,0.001104551,0.0004636911,0.4270247,0.3159163,0.006581179,0.2162702,0.0001989689],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3223557,0.0003658536,0.6093253,0.0004166075,0.0005215845,0.001923631,0.007042294,0.02673575,0.03131325],"genre_scores_gemma":[0.686838,0.000213512,0.2850471,0.0001214774,0.00003728888,0.00159372,0.008942545,0.0004182111,0.01678813],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007151725,"threshold_uncertainty_score":0.02392489,"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."}}