{"id":"W2359451902","doi":"","title":"Vehicle Voice Navigation System's Research Based on SPCE061A Microcomputer","year":2009,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Simulation and Modeling Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Radio-frequency identification; Dedicated short-range communications; Navigation system; Radio navigation; Identification (biology); Real-time computing; Intelligent transportation system; Microcomputer; Telecommunications; Global Positioning System; Embedded system; Computer security; Wireless; Transport engineering; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002883518,0.0002130451,0.0001711709,0.0003114721,0.0003786967,0.0001458743,0.0004118625,0.0001368251,0.000009036418],"category_scores_gemma":[3.632434e-7,0.0002360859,0.00008590133,0.000757064,0.000049432,0.00009180199,0.00002624932,0.0003681096,0.001152816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002471282,"about_ca_system_score_gemma":0.00003383106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007427603,"about_ca_topic_score_gemma":9.068944e-7,"domain_scores_codex":[0.9984572,0.00005145062,0.0003712102,0.0004404267,0.0002881749,0.0003915245],"domain_scores_gemma":[0.9988274,0.0001347529,0.00003872196,0.000607405,0.0002447128,0.0001470263],"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":[0.00001250534,0.0003266703,0.0000471107,0.0001300726,0.00002481646,0.000002756443,0.0002829274,0.7069498,0.06322218,0.01739039,0.01825362,0.1933572],"study_design_scores_gemma":[0.0003816072,0.00003190364,0.0008595749,0.00006876761,0.000008493173,0.000006666715,0.00001761916,0.7764019,0.005765615,0.0005007176,0.2157279,0.0002292562],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01786385,0.00006216762,0.9726601,0.0008680332,0.00003109458,0.001312577,0.00002308471,0.001389486,0.005789621],"genre_scores_gemma":[0.9030124,0.000002637228,0.09539358,0.0004328462,0.0003791178,0.0004986337,0.0001670536,0.00004195013,0.00007177964],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8851485,"threshold_uncertainty_score":0.9996249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02481432350804301,"score_gpt":0.2995704284197177,"score_spread":0.2747561049116747,"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."}}