{"id":"W2038693791","doi":"10.1155/2013/750385","title":"INS Assisted Fuzzy Tracking Loop for GPS-Guided Missiles and Vehicular Applications","year":2013,"lang":"en","type":"article","venue":"Open MIND","topic":"GNSS positioning and interference","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Global Positioning System; GPS/INS; Computer science; Inertial navigation system; GPS signals; Fuzzy logic; Control theory (sociology); Real-time computing; Phase-locked loop; Assisted GPS; Engineering; Electronic engineering; Inertial frame of reference; Phase noise; Artificial intelligence; Telecommunications; Control (management)","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":[0.00005302235,0.00007672896,0.00009361247,0.00002692318,0.00008401793,0.0002610376,0.0001470065,0.00004734872,0.000168201],"category_scores_gemma":[0.00001243608,0.00007510434,0.00001966576,0.00005164354,0.00001864228,0.0001950138,0.00002644724,0.00005563624,0.000133205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001728193,"about_ca_system_score_gemma":0.000008681721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000347186,"about_ca_topic_score_gemma":0.00001018998,"domain_scores_codex":[0.9995796,0.000006270408,0.0001278528,0.0001319413,0.00003737438,0.0001169256],"domain_scores_gemma":[0.9997113,0.00003287319,0.00001909498,0.0001306901,0.00005105197,0.00005501949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000005652425,0.00009941704,0.000840218,0.0001032699,0.000120858,0.000001145307,0.001124445,0.002237305,0.2020307,0.0004719666,0.01005165,0.7829134],"study_design_scores_gemma":[0.003077429,0.0002810028,0.1212503,0.0008248881,0.0002545945,0.0001049722,0.001432867,0.2016894,0.352627,0.003363677,0.3132705,0.00182338],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9441062,0.0002120826,0.0109591,0.0001768014,0.00005355029,0.0008722782,0.00002236573,0.00001677886,0.04358091],"genre_scores_gemma":[0.9859581,0.000005997001,0.01289526,0.00001540566,0.00002645715,0.0003099339,0.00002899988,0.00001353374,0.000746325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.78109,"threshold_uncertainty_score":0.3062666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05460138997565745,"score_gpt":0.29528839028791,"score_spread":0.2406870003122526,"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."}}