{"id":"W3141622885","doi":"10.1109/access.2021.3069793","title":"Time Difference of Arrival Based Indoor Positioning System Using Visible Light Communication","year":2021,"lang":"en","type":"article","venue":"IEEE Access","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo; Sultan Qaboos University","keywords":"Computer science; Visible light communication; Indoor positioning system; Multilateration; Real-time computing; Optics; Light-emitting diode; Physics; Azimuth","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":[0.0003142087,0.0004107066,0.000505371,0.0004586267,0.0002837524,0.000612214,0.0008631339,0.0004323567,0.001781927],"category_scores_gemma":[0.0005425556,0.0001692443,0.0003795003,0.0005986771,0.0001380395,0.0004799704,0.0005531468,0.0004273802,0.0008981007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003946787,"about_ca_system_score_gemma":0.000754079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003560298,"about_ca_topic_score_gemma":0.003499374,"domain_scores_codex":[0.9996819,0.0000657109,0.00001401693,0.00006045015,0.0001422526,0.0000355398],"domain_scores_gemma":[0.9996918,0.00004614332,0.00004918954,0.00004957373,0.0001411772,0.00002196764],"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":[0.0009343113,0.0003217158,0.01338509,0.0006490968,0.0002938379,0.0004276088,0.0003688764,0.4341102,0.1432169,0.007931772,0.007906163,0.3904544],"study_design_scores_gemma":[0.0001024421,0.0005598814,0.002894371,0.00002185242,0.00008197076,0.0002001591,0.00004395549,0.9545583,0.03253619,0.000786462,0.008154053,0.00006027515],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08485292,0.0003008977,0.897079,0.0001292585,0.0001771591,0.0001050641,0.0004696776,0.009674006,0.007212029],"genre_scores_gemma":[0.8576058,0.0002848073,0.1360916,0.00005324963,0.00002894442,0.0001581937,0.0006813594,0.00005767738,0.005038448],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003560298,"threshold_uncertainty_score":0.007079184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01748066655225314,"score_gpt":0.2526229024616228,"score_spread":0.2351422359093696,"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."}}