{"id":"W2363449758","doi":"","title":"The special wireless tracking system for police based on GPS/GSM/GIS","year":2008,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"IoT and GPS-based Vehicle Safety Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Global Positioning System; Computer science; GSM; Precision Lightweight GPS Receiver; Base station; GPS tracking server; Assisted GPS; Wireless; Real-time computing; Positioning system; Hybrid positioning system; Reliability (semiconductor); Geographic information system; Software; Tracking system; Telecommunications; Remote sensing; Gps receiver; Artificial intelligence; Kalman filter; Engineering; Geography","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":[],"consensus_categories":[],"category_scores_codex":[0.0001278224,0.0001862272,0.0001771459,0.00007196449,0.0006570457,0.00006704695,0.0003451965,0.00008751164,0.000001753552],"category_scores_gemma":[2.370267e-7,0.0001602703,0.0001348319,0.0002262263,0.00004474147,0.00004798062,0.00001523659,0.0001308434,0.0001187649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001834999,"about_ca_system_score_gemma":0.0000349641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003155354,"about_ca_topic_score_gemma":0.00003259394,"domain_scores_codex":[0.9989831,0.00002035913,0.0003160865,0.0002327065,0.000120044,0.0003276996],"domain_scores_gemma":[0.9991947,0.000238531,0.00005242593,0.00037108,0.00007634015,0.00006696268],"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":[0.0001087674,0.000214627,0.000454426,0.001058841,0.0002114997,0.000006036772,0.003301125,0.06637188,0.02331959,0.01131031,0.09351566,0.8001272],"study_design_scores_gemma":[0.0005803984,0.00002436558,0.0005502987,0.00005224242,0.00001338064,0.00001741944,0.00007208872,0.1694097,0.009940455,0.00001272739,0.8190707,0.0002562518],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01623967,0.00008326932,0.9747826,0.0004121676,0.0003628939,0.002205903,0.00008960791,0.0007799877,0.005043866],"genre_scores_gemma":[0.9844089,0.000009196025,0.006187429,0.0001371504,0.007534168,0.001381109,0.00005117773,0.00007790467,0.000212993],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9685952,"threshold_uncertainty_score":0.6535634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01100566877532065,"score_gpt":0.2125984029095125,"score_spread":0.2015927341341919,"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."}}