{"id":"W2504757441","doi":"10.4018/978-1-60566-396-8.ch017","title":"A Wireless Mesh Network Platform for Vehicle Positioning and Location Tracking","year":2009,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Transport Canada; National Research Council Canada; University of Regina","funders":"","keywords":"Upgrade; Engineering; Bluetooth; Wireless network; Wireless; Wireless mesh network; Computer science; Real-time computing; Computer network; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000198219,0.0004048495,0.0001727968,0.0003951201,0.0002034212,0.0004110409,0.0008428383,0.0004802384,0.005371755],"category_scores_gemma":[0.0002721012,0.0001373858,0.0001605556,0.0003584858,0.0001158776,0.0006953414,0.0006297252,0.0003638102,0.00194087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002715085,"about_ca_system_score_gemma":0.0003922371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001136393,"about_ca_topic_score_gemma":0.001432565,"domain_scores_codex":[0.9997906,0.00003352214,0.00001066826,0.00003997596,0.000100162,0.00002509261],"domain_scores_gemma":[0.9999117,0.00001601844,0.00001107161,0.00002148171,0.00002927095,0.00001037542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002946817,0.0002337671,0.00215271,0.0003207084,0.00005798566,0.0005484511,0.0001521892,0.05185347,0.1723561,0.02294782,0.03097657,0.7181057],"study_design_scores_gemma":[0.00008744215,0.0009190718,0.004749274,0.00008619886,0.00005905898,0.0007356163,0.0001249475,0.5931005,0.06430302,0.009161447,0.3266017,0.00007174906],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03189006,0.0007513282,0.9229442,0.0002839121,0.0003165468,0.0004785868,0.0006879698,0.006843626,0.03580372],"genre_scores_gemma":[0.4751501,0.00142404,0.4494967,0.0002611477,0.0001312389,0.0007639817,0.00244645,0.0002373046,0.07008906],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005371755,"threshold_uncertainty_score":0.01797026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01152248815270848,"score_gpt":0.2143468551017319,"score_spread":0.2028243669490234,"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."}}