{"id":"W122586830","doi":"10.1007/978-3-319-11167-4_23","title":"tNote: A Social Network of Vehicles under Internet of Things","year":2014,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Dedicated short-range communications; Internet of Things; Architecture; Leverage (statistics); The Internet; Vehicular ad hoc network; Computer security; Wireless ad hoc network; Computer network; Telecommunications; World Wide Web; Artificial intelligence; Wireless","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":[0.0003032101,0.0004393221,0.0003527159,0.0009478958,0.001412406,0.001615987,0.0008651612,0.000898291,0.006126284],"category_scores_gemma":[0.0008996706,0.0002039688,0.0004802219,0.001545115,0.0005074781,0.002719803,0.001562727,0.0006394592,0.001447456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004747504,"about_ca_system_score_gemma":0.000720232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004115046,"about_ca_topic_score_gemma":0.00778907,"domain_scores_codex":[0.9997742,0.00006136784,0.00001211234,0.00005503245,0.0000726098,0.00002470339],"domain_scores_gemma":[0.9997569,0.00007449895,0.00002523022,0.00003375523,0.0000402116,0.0000693926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002519136,0.0001864001,0.006665193,0.0007683238,0.000146514,0.002223511,0.002693465,0.04674801,0.008344436,0.5138611,0.1632223,0.2548889],"study_design_scores_gemma":[0.00004113039,0.0001546485,0.003087929,0.0001873693,0.0001000709,0.001659602,0.001954529,0.1067564,0.002446428,0.1511618,0.7323648,0.00008521471],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1331993,0.004679299,0.6241455,0.005358359,0.00350339,0.001165763,0.01428215,0.004925747,0.2087405],"genre_scores_gemma":[0.5893313,0.009145874,0.2507489,0.001193916,0.00107493,0.0009331887,0.02303333,0.0006572302,0.1238813],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006126284,"threshold_uncertainty_score":0.02049446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00917542143350703,"score_gpt":0.2072803086442304,"score_spread":0.1981048872107234,"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."}}