{"id":"W2481365926","doi":"10.4018/978-1-60566-338-8.ch012","title":"An Overview of Positioning and Data Fusion Techniques Applied to Land Vehicle Navigation Systems","year":2009,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Target Tracking and Data Fusion in Sensor Networks","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Robustness (evolution); Sensor fusion; Computer science; Field (mathematics); Position (finance); Positioning system; Systems engineering; Global Positioning System; Artificial intelligence; Real-time computing; Engineering; 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":[0.000280667,0.0002502167,0.0003656056,0.00006221741,0.0001226464,0.0002536296,0.00106871,0.00026802,0.000001605914],"category_scores_gemma":[0.000003650811,0.0002444046,0.00003055397,0.00003903245,0.00003477457,0.0001752795,0.000576783,0.0001742083,0.000008480378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004717561,"about_ca_system_score_gemma":0.000041732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001300405,"about_ca_topic_score_gemma":0.00001075881,"domain_scores_codex":[0.9983084,0.00002839254,0.00039559,0.0007017286,0.0003776565,0.0001882709],"domain_scores_gemma":[0.9979685,0.00002907429,0.0002399862,0.001519228,0.00009641141,0.0001467779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001333194,0.000009167919,0.000009876099,0.0000647798,0.00001047238,0.00001242176,0.00003943059,0.00004353097,0.0003523801,0.8718922,0.0008923644,0.1266601],"study_design_scores_gemma":[0.001938972,0.002417676,0.001506904,0.02076854,0.0004359018,0.0008395838,0.00004976504,0.07152327,0.002414338,0.6381821,0.2549248,0.004998165],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001315197,0.004593638,0.1256721,0.0001185902,0.0007292673,0.001658738,0.001517276,0.00112143,0.8632737],"genre_scores_gemma":[0.8782464,0.0002949871,0.1150804,0.001342166,0.001113154,0.00003003302,0.00109372,0.00009264346,0.002706507],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8769313,"threshold_uncertainty_score":0.9966529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04231466731844623,"score_gpt":0.3020723704679241,"score_spread":0.2597577031494778,"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."}}