{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005469577,0.0005148302,0.000684489,0.001259587,0.0001627575,0.00100412,0.0007518819,0.0004742513,0.001319911],"category_scores_gemma":[0.002376992,0.0003716801,0.0005876629,0.001335017,0.0003130495,0.001704244,0.0009391207,0.0004055494,0.00124112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002327186,"about_ca_system_score_gemma":0.0003036232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001128827,"about_ca_topic_score_gemma":0.00202802,"domain_scores_codex":[0.9991948,0.0002047828,0.00003398201,0.0002239335,0.0003029662,0.00003950646],"domain_scores_gemma":[0.9993224,0.0002137663,0.0001196471,0.000159167,0.0001678819,0.0000171533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000192199,0.00007997375,0.005463239,0.0002559272,0.0001581004,0.0002070981,0.000175472,0.263137,0.05799376,0.01381738,0.002721135,0.6557986],"study_design_scores_gemma":[0.00004979457,0.0001929981,0.007250756,0.00004497985,0.0001174894,0.0008077351,0.00006842478,0.9316168,0.03595129,0.008047038,0.01576968,0.00008299098],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01255916,0.0001617231,0.9852806,0.00003956118,0.00001952498,0.0000130264,0.00006739064,0.0005272656,0.001331698],"genre_scores_gemma":[0.3711496,0.000568445,0.6225967,0.00007271634,0.0001019128,0.0000925722,0.0006483684,0.0002100453,0.004559602],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001319911,"threshold_uncertainty_score":0.004415572,"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."}}