{"id":"W180993545","doi":"10.1007/978-3-642-12035-0_1","title":"Service Discovery Protocols for VANET Based Emergency Preparedness Class of Applications: A Necessity Public Safety and Security","year":2010,"lang":"en","type":"book-chapter","venue":"Communications in computer and information science","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Preparedness; Service (business); Class (philosophy); Computer security; Emergency response; Computer science; Emergency management; Service discovery; Medical emergency; Business; Medicine; Political science; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.0008640611,0.0001998613,0.0002739806,0.0003561717,0.0003116034,0.000202105,0.001202262,0.0001858091,0.000007439691],"category_scores_gemma":[0.0000238881,0.0002110467,0.00003745328,0.0003343895,0.0003997961,0.003394829,0.0005535208,0.0003819496,0.000002269914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008498099,"about_ca_system_score_gemma":0.0002029515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008377722,"about_ca_topic_score_gemma":0.0002037299,"domain_scores_codex":[0.9986144,0.00001826601,0.000742157,0.0001882635,0.0002403572,0.0001966093],"domain_scores_gemma":[0.9976065,0.000148556,0.0002804645,0.001403615,0.0004693892,0.00009153235],"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":[0.00008643982,0.0002090925,0.00065838,0.006158888,0.00009634309,2.012103e-7,0.007407583,0.1682757,0.0001393533,0.5475588,0.0009399098,0.2684693],"study_design_scores_gemma":[0.0002527318,0.00001570969,0.0002278521,0.000132096,0.000007280019,0.000002681102,0.00001525252,0.7583193,0.0000108862,0.002615268,0.2382127,0.0001882951],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0006285831,0.0005213823,0.9427655,0.0005478773,0.0002314093,0.01788112,0.0004671979,0.0002066799,0.0367502],"genre_scores_gemma":[0.61006,0.01056561,0.3366024,0.001628057,0.0004315929,0.03501362,0.004903644,0.0002024614,0.0005926258],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6094314,"threshold_uncertainty_score":0.8606237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0241250180531195,"score_gpt":0.2793340957044745,"score_spread":0.255209077651355,"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."}}