{"id":"W2113065846","doi":"10.1109/twc.2002.800542","title":"Hybrid TDOA/AOA mobile user location for wideband CDMA cellular systems","year":2002,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":595,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Multilateration; Angle of arrival; Computer science; Base station; Wideband; Code division multiple access; Macrocell; Real-time computing; Electronic engineering; Antenna (radio); Telecommunications; Engineering; Mathematics; Azimuth","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001070696,0.0002276493,0.0002359544,0.0002545131,0.0005488168,0.0000907878,0.0007087906,0.0001541125,0.00007033929],"category_scores_gemma":[0.000006562002,0.0002509958,0.0001142456,0.0004033489,0.0001457288,0.0002297321,0.000003848175,0.0003091442,0.0001372693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001501626,"about_ca_system_score_gemma":0.00001280724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003353995,"about_ca_topic_score_gemma":0.00003887415,"domain_scores_codex":[0.998883,0.00005252833,0.0004145536,0.0002074759,0.000158119,0.0002843353],"domain_scores_gemma":[0.9978427,0.0002434239,0.00005963681,0.001598806,0.0001894329,0.00006600374],"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":[0.000009678502,0.0003930797,0.00001156355,0.0002148353,0.0001493147,9.912634e-7,0.0005940121,0.9519799,0.006099951,0.003179791,0.005767197,0.03159964],"study_design_scores_gemma":[0.0005517054,0.00007569402,0.000003287304,0.00009138742,0.00007118997,0.000008034656,0.00037094,0.8428773,0.1134681,0.00009216443,0.04201741,0.0003727338],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01205454,0.001542179,0.9824521,0.0001791952,0.0006197758,0.0009159673,0.0001370098,0.001379156,0.0007200505],"genre_scores_gemma":[0.993336,0.001847644,0.001264525,0.00003680048,0.00002843927,0.0024907,0.00004616168,0.00007469996,0.0008750257],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9812815,"threshold_uncertainty_score":0.9999942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02240451282096932,"score_gpt":0.2276135229881764,"score_spread":0.2052090101672071,"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."}}