{"id":"W1198948360","doi":"10.1007/s10291-015-0484-y","title":"Modeling and verifying the impact of time delay on INS-aided GNSS PLLs","year":2015,"lang":"en","type":"article","venue":"GPS Solutions","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"GNSS applications; Inertial navigation system; Satellite system; Computer science; Phase-locked loop; Bandwidth (computing); Acceleration; Navigation system; Real-time computing; Global Positioning System; Engineering; Simulation; Electronic engineering; Inertial frame of reference; Jitter; Telecommunications","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":[0.0001018615,0.00006319702,0.00007262892,0.00003393124,0.00007534742,0.00001056941,0.00004160052,0.00003946897,0.000007426928],"category_scores_gemma":[0.00002957941,0.00004576142,0.00003732413,0.00009564628,0.00001893884,0.00006830248,0.00001252413,0.00008824942,0.00002808299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006325923,"about_ca_system_score_gemma":0.00001448283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004138183,"about_ca_topic_score_gemma":0.00001139568,"domain_scores_codex":[0.9996236,0.00001613159,0.0001048551,0.0000527665,0.00007291655,0.0001297268],"domain_scores_gemma":[0.9997817,0.00002206331,0.00001096314,0.0001023928,0.00003766651,0.0000451605],"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":[0.000006706609,0.000006870187,0.00003661782,0.000002689392,0.00001788489,2.982012e-7,0.0004622827,0.9893095,0.009071991,0.0001754455,0.0004568716,0.0004527862],"study_design_scores_gemma":[0.0001619903,0.00003662806,0.0003293571,0.0000163179,0.00001134211,0.000003830589,0.00004051307,0.99836,0.0006436286,0.000309249,0.00002859315,0.00005855361],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886592,0.000225292,0.007961115,0.00003315824,0.00006982575,0.00007817057,0.00001377362,0.00007017141,0.002889277],"genre_scores_gemma":[0.9997706,0.00001834542,0.0001054155,0.000006243528,0.00005529772,0.00000330447,0.000008851845,0.00001010544,0.00002178699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01111143,"threshold_uncertainty_score":0.1866097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04543749683613862,"score_gpt":0.2666128381947012,"score_spread":0.2211753413585625,"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."}}