{"id":"W2537304402","doi":"10.1109/vnis.1989.98751","title":"AVLN 2000 automatic vehicle location and navigation system","year":2003,"lang":"en","type":"article","venue":"","topic":"Bluetooth and Wireless Communication Technologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; University of Calgary","keywords":"Global Positioning System; Odometer; Computer science; Map matching; Navigation system; Kalman filter; Microcomputer; Real-time computing; Artificial intelligence; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0009058063,0.0006881593,0.001038247,0.002079354,0.0006424295,0.001409955,0.001508421,0.0008219366,0.03768861],"category_scores_gemma":[0.001350113,0.0002594487,0.0001919019,0.001325833,0.000188127,0.001056424,0.0007508458,0.0005583165,0.04414504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00100884,"about_ca_system_score_gemma":0.000831016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004927736,"about_ca_topic_score_gemma":0.004280562,"domain_scores_codex":[0.9992629,0.00009788974,0.00003722743,0.0002129137,0.0003429802,0.00004608549],"domain_scores_gemma":[0.9992318,0.00005261244,0.0000374355,0.0001247003,0.0005056763,0.00004787152],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009463654,0.0001726447,0.004012794,0.0002680754,0.00004128479,0.0001510961,0.0001468955,0.0078605,0.0300978,0.007626534,0.2622165,0.6864595],"study_design_scores_gemma":[0.0004909598,0.0004362503,0.004948581,0.0001507382,0.0000795587,0.0007023257,0.00008542177,0.2173537,0.03858701,0.005245194,0.7317991,0.0001210961],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03569036,0.001140972,0.4337933,0.0006213189,0.001244297,0.0005730717,0.02426856,0.3073204,0.1953477],"genre_scores_gemma":[0.2949407,0.0008106024,0.2631987,0.001226864,0.0005289624,0.001271193,0.0869728,0.003780378,0.3472698],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03768861,"threshold_uncertainty_score":0.126081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01046160342780536,"score_gpt":0.2154660551518681,"score_spread":0.2050044517240628,"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."}}