{"id":"W2592158934","doi":"10.1109/fit.2016.063","title":"Analysis of Positioning Uncertainty in Vehicular Environment","year":2016,"lang":"en","type":"article","venue":"","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Global Positioning System; Computer science; Component (thermodynamics); Wireless; Range (aeronautics); Real-time computing; Position (finance); Automotive industry; Collision avoidance; Hybrid positioning system; Collision; Positioning system; Telecommunications; Engineering; Computer security; Aerospace engineering","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":[0.001637666,0.0004829602,0.0005300399,0.00143722,0.0003396232,0.001046805,0.000633557,0.0005605672,0.0006143018],"category_scores_gemma":[0.01213741,0.0003157152,0.0004078473,0.001367287,0.0007843381,0.001415711,0.001133644,0.0005162863,0.00009419915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007372315,"about_ca_system_score_gemma":0.0005173856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004312151,"about_ca_topic_score_gemma":0.001711414,"domain_scores_codex":[0.9983613,0.0003354287,0.00008813749,0.0002280655,0.0008185729,0.0001684006],"domain_scores_gemma":[0.9921875,0.005639727,0.0009850207,0.0003506704,0.0007368267,0.0001002048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004811046,0.000007292995,0.005597018,0.00005823298,0.00005024806,0.0001484164,0.00009094436,0.9593309,0.001435228,0.01776797,0.0001619529,0.0153037],"study_design_scores_gemma":[0.000002107242,0.00004516379,0.005486145,0.00002307922,0.00001635164,0.0001196159,0.00005783173,0.9740005,0.001058816,0.01856269,0.0005991944,0.00002857786],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2236311,0.001464277,0.7697983,0.0003695803,0.00003487394,0.00002377346,0.0003454882,0.0001470758,0.004185464],"genre_scores_gemma":[0.9870253,0.0004931756,0.01169983,0.00001846296,0.00003273516,0.00001578931,0.0001656557,0.00002660611,0.0005224192],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004312151,"threshold_uncertainty_score":0.008660913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003804733725727216,"score_gpt":0.1763216895139537,"score_spread":0.1725169557882265,"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."}}