{"id":"W3198261478","doi":"10.1155/2021/9631502","title":"A Virtualization Approach to Correct Systematic Errors in Measured TDOA and FDOA for Low Orbit Dual-Satellite Positioning Systems","year":2021,"lang":"en","type":"article","venue":"International Journal of Antennas and Propagation","topic":"GNSS positioning and interference","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"National Natural Science Foundation of China","keywords":"Multilateration; FDOA; Satellite; Computer science; Orbit (dynamics); Orbit determination; Real-time computing; Geolocation; Low earth orbit; Remote sensing; Global Positioning System; Telecommunications; Engineering; Aerospace engineering; Acoustics; Physics; Geology","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":[0.000428172,0.0001077442,0.0002302039,0.0002297869,0.00004146276,0.0002154844,0.00006648917,0.00005381618,0.00000128512],"category_scores_gemma":[0.0001861512,0.00009824421,0.00003936868,0.0001280772,0.00001377998,0.000295415,0.00001361977,0.0001001944,9.747524e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009178682,"about_ca_system_score_gemma":0.00002951976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008771947,"about_ca_topic_score_gemma":0.000006100928,"domain_scores_codex":[0.998934,0.00007046068,0.0005209909,0.0001205453,0.0002518939,0.0001021037],"domain_scores_gemma":[0.9990206,0.00007026431,0.0001542736,0.00005149567,0.0006433795,0.00005994402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001246973,0.0009109791,0.00752729,0.02953487,0.001885467,0.0002390888,0.03074146,0.3363951,0.5467895,0.0322729,0.0008549444,0.01160147],"study_design_scores_gemma":[0.001552825,0.0003953191,0.00513135,0.02348263,0.0001224295,0.002684489,0.003277419,0.942659,0.01954558,0.0006066503,0.0000820923,0.0004601761],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4844964,0.003538354,0.508687,0.000243216,0.001590851,0.0005498814,0.00002063138,0.00003875158,0.0008348131],"genre_scores_gemma":[0.9980171,0.0002321079,0.001475279,0.00004137888,0.0001129846,0.00002561356,0.00003011493,0.00001489199,0.00005047392],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6062639,"threshold_uncertainty_score":0.4006283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0139187369868044,"score_gpt":0.2322615464774786,"score_spread":0.2183428094906742,"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."}}