{"id":"W4406942810","doi":"10.2139/ssrn.5117017","title":"Trigonometric Moments of a Generalized Von Mises Distribution in 2-D Range-Only Tracking","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Target Tracking and Data Fusion in Sensor Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"von Mises distribution; von Mises yield criterion; Trigonometry; Range (aeronautics); Mathematics; Distribution (mathematics); Mathematical analysis; Structural engineering; Engineering; Finite element method","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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.002688113,0.0003660089,0.0006917944,0.0009673578,0.000149074,0.0002456076,0.001982193,0.0003617574,0.00001138982],"category_scores_gemma":[0.0002212327,0.0003521531,0.0003373421,0.001530086,0.00004293506,0.0003194517,0.0007018894,0.003986243,0.000003341959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001496164,"about_ca_system_score_gemma":0.003534592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002517665,"about_ca_topic_score_gemma":0.000216421,"domain_scores_codex":[0.9953682,0.0003640594,0.00106059,0.000649509,0.000565384,0.00199228],"domain_scores_gemma":[0.9979994,0.0001891184,0.0007762276,0.0007251328,0.0002108387,0.00009926959],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004270834,0.001084702,0.03066198,0.0003283701,0.0007364101,0.00005611483,0.0006781712,0.03369702,0.0001345071,0.2710703,0.001725876,0.6593994],"study_design_scores_gemma":[0.01284742,0.0008751954,0.0311542,0.003259755,0.0003881376,0.000922523,0.0005079875,0.1185668,0.0009078312,0.8152188,0.01254132,0.00281008],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2215681,0.01613494,0.7589618,0.0004908181,0.001947622,0.0003920224,0.0001352134,0.00009807394,0.0002714691],"genre_scores_gemma":[0.9782671,0.01815218,0.00247291,0.00004404823,0.0002698956,0.00001542042,0.0001645349,0.00001698048,0.0005969309],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.756699,"threshold_uncertainty_score":0.9998931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01640962832992342,"score_gpt":0.2672315937044791,"score_spread":0.2508219653745557,"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."}}