{"id":"W2139209052","doi":"10.1109/vetecf.2008.138","title":"Practical Results of Hybrid AOA/TDOA Geo-Location Estimation in CDMA Wireless Networks","year":2008,"lang":"en","type":"article","venue":"","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Multilateration; Angle of arrival; Computer science; Estimator; Channel (broadcasting); Time of arrival; Code division multiple access; Telecommunications link; Cramér–Rao bound; Wireless; FDOA; Real-time computing; Electronic engineering; Algorithm; Estimation theory; Telecommunications; Acoustics; Engineering; Mathematics; Statistics","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":[0.0001290435,0.00009374639,0.0001374916,0.0001324143,0.00002960395,0.000007066844,0.00007580567,0.00008821489,0.00001326719],"category_scores_gemma":[0.0002006936,0.00009186621,0.00002048699,0.0003565653,0.00005659111,0.00018869,0.00001822275,0.0001454363,0.00001457301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005268414,"about_ca_system_score_gemma":0.00002095337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005456106,"about_ca_topic_score_gemma":0.0000267648,"domain_scores_codex":[0.999234,0.0000161231,0.0003511177,0.000115533,0.0001246631,0.0001585592],"domain_scores_gemma":[0.9995926,0.00008395856,0.00004525107,0.0001879474,0.00006935181,0.00002087419],"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":[0.00002857933,0.00003708437,0.0007747537,0.00003316061,0.000008448174,0.00001596192,0.0001120534,0.9849235,0.0001444896,0.003664406,0.004689695,0.005567889],"study_design_scores_gemma":[0.0004104203,0.00002140108,0.002874743,0.00002440351,0.000003472536,0.00002582602,0.00006181188,0.9642944,0.03189353,0.0001544129,0.0001327257,0.000102898],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2076079,0.00003783997,0.7882155,0.0001479669,0.000128647,0.000133034,0.000002213686,0.0004758359,0.003251066],"genre_scores_gemma":[0.9935386,0.0001340219,0.006165579,0.00001821359,0.00001734277,0.00001111719,0.00003613124,0.00001413083,0.00006487456],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7859307,"threshold_uncertainty_score":0.3746195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01666831296558067,"score_gpt":0.245760356767432,"score_spread":0.2290920438018514,"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."}}