{"id":"W2113086070","doi":"10.1109/icassp.1994.389616","title":"Geolocalization by combined range difference and range rate difference measurements","year":2002,"lang":"en","type":"article","venue":"","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Geolocation; Range (aeronautics); Common emitter; Oblate spheroid; Position (finance); Estimator; Latitude; Geodesy; Quadratic equation; Computer science; Physics; Algorithm; Geology; Computational physics; Mathematics; Statistics; Geometry; Aerospace engineering; Engineering; Classical mechanics; Optoelectronics","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":[0.00007313872,0.0001830251,0.0001800423,0.00007572491,0.00008162417,0.00005233316,0.0001421126,0.0001238423,0.000285055],"category_scores_gemma":[0.00005325893,0.0001592108,0.00002178177,0.000191108,0.00007003238,0.00008363133,0.00003365772,0.00009419307,0.00004160459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003252059,"about_ca_system_score_gemma":0.000001426438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001333658,"about_ca_topic_score_gemma":0.00001732515,"domain_scores_codex":[0.9991969,0.00002818362,0.0001949855,0.0001820237,0.0001587274,0.0002391072],"domain_scores_gemma":[0.9996545,0.00003112686,0.00002345758,0.0001874941,0.00004855909,0.00005481498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009818254,0.0005276253,0.615208,0.0009454201,0.00037829,0.00001918089,0.002256692,0.002154045,0.1131737,0.01505446,0.09144312,0.1587413],"study_design_scores_gemma":[0.004897198,0.0002102767,0.07614726,0.000107224,0.00007214954,0.000006767663,0.0001657823,0.8146151,0.09726503,0.001914029,0.003292006,0.001307202],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6386565,0.00260823,0.3450532,0.000429322,0.0003961406,0.0005644264,0.00002227433,0.003054623,0.009215347],"genre_scores_gemma":[0.9974918,0.0006418558,0.0001301835,0.0001369226,0.00001021039,0.00002825655,0.00001312709,0.0000221958,0.001525466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.812461,"threshold_uncertainty_score":0.6492429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02482132804255019,"score_gpt":0.1950419736510696,"score_spread":0.1702206456085194,"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."}}