{"id":"W2559200081","doi":"10.1155/2016/4502867","title":"An Indoor Ultrasonic Positioning System Based on TOA for Internet of Things","year":2016,"lang":"en","type":"article","venue":"Mobile Information Systems","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Qinglan Project of Jiangsu Province of China; Fundamental Research Funds for the Central Universities; Government of Jiangsu Province; Six Talent Peaks Project in Jiangsu Province; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Computer science; Hybrid positioning system; Ultrasonic sensor; Real-time computing; Positioning system; Ranging; Correctness; Global Positioning System; Indoor positioning system; Node (physics); Telecommunications; Algorithm; Acoustics","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":[0.0002562015,0.0001242349,0.0001855371,0.0002451234,0.00004639984,0.00006896813,0.0001789197,0.0001341113,0.000008288715],"category_scores_gemma":[0.00003443079,0.00009063217,0.00005346778,0.0001449818,0.00002248394,0.00101474,0.000006166082,0.00004650175,0.0000462145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001833063,"about_ca_system_score_gemma":0.00001541312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001774042,"about_ca_topic_score_gemma":3.573469e-7,"domain_scores_codex":[0.9990503,0.0000183347,0.0005197143,0.00007342039,0.0001772916,0.0001609611],"domain_scores_gemma":[0.9993268,0.0001006141,0.0001456304,0.0002349012,0.0001586413,0.00003345084],"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":[0.0002336305,0.00008454136,0.002522265,0.007152558,0.0001566721,0.000001436381,0.006303631,0.7424707,0.01870659,0.1431925,0.004361544,0.07481392],"study_design_scores_gemma":[0.0009383479,0.0003224163,0.00007422159,0.0008610611,0.000009959433,0.000006105255,0.002011581,0.8983985,0.09149942,0.000008376049,0.005665151,0.0002049133],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0490004,0.00002704698,0.9451778,0.000008225184,0.0006197813,0.0008625463,0.00007429656,0.001102845,0.003127048],"genre_scores_gemma":[0.9990508,0.000002026036,0.0003417503,0.00002824283,0.0000291444,0.0004509437,0.00005841643,0.00001588577,0.00002279308],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9500504,"threshold_uncertainty_score":0.3695873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004623836150614741,"score_gpt":0.1976379983018394,"score_spread":0.1930141621512247,"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."}}