{"id":"W4243495084","doi":"10.1007/978-3-319-58721-9_1","title":"Introduction","year":2017,"lang":"en","type":"book-chapter","venue":"Wireless networks","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Software deployment; Vehicular ad hoc network; Intelligent transportation system; Wireless; Dedicated short-range communications; Wireless ad hoc network; The Internet; Vehicle-to-vehicle; Toll; Electronic toll collection; Telecommunications; Transport engineering; Computer network; Engineering; World Wide Web","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001860257,0.0006513993,0.0006759042,0.0001101334,0.000194566,0.0001636147,0.0005517763,0.001108469,0.0008172862],"category_scores_gemma":[0.000005213418,0.0007310798,0.0002548549,0.00001706666,0.0001333064,0.0001511684,0.00011082,0.001495095,0.0006574558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002119501,"about_ca_system_score_gemma":0.00002488691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003817453,"about_ca_topic_score_gemma":0.00007018069,"domain_scores_codex":[0.9981151,0.0000117781,0.0004080783,0.0005417612,0.0003018795,0.0006214386],"domain_scores_gemma":[0.9980982,0.00003191597,0.0001817505,0.001428052,0.00006903932,0.000191048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006528051,0.000002724845,0.000001384489,0.00004548959,0.0001739768,0.00005605766,0.000009273841,0.7143591,0.000004447819,0.01157362,0.2133921,0.06037525],"study_design_scores_gemma":[0.0001250735,0.00001159936,0.00000692272,0.0001605827,0.00007008664,0.000034344,4.699572e-7,0.4283581,0.000004506338,0.0007384931,0.5700025,0.0004873267],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00008345798,0.009082152,0.01997959,0.0002142916,0.009524269,0.0005533305,0.00002064779,0.001578513,0.9589638],"genre_scores_gemma":[0.06229066,0.007712599,0.0002158703,0.00007980856,0.04135272,0.00004771651,0.0006660805,0.0007934717,0.8868411],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3566104,"threshold_uncertainty_score":0.999514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007159272803221065,"score_gpt":0.1866383328357565,"score_spread":0.1794790600325354,"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."}}