{"id":"W2007110310","doi":"10.1109/iscc.2013.6754974","title":"A DNS protocol - based Service Discovery architecture for disaster response systems","year":2013,"lang":"en","type":"article","venue":"","topic":"Opportunistic and Delay-Tolerant Networks","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Service discovery; Computer science; Computer network; Service (business); Situation awareness; Architecture; Protocol (science); Computer security; Distributed computing; World Wide Web; Web service; Engineering","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":[0.002228294,0.0003790539,0.0005818484,0.001033747,0.001768857,0.003024632,0.001895327,0.00126009,0.001620574],"category_scores_gemma":[0.001678808,0.0004704166,0.0004280262,0.001100445,0.0009682724,0.003346733,0.001743658,0.001354365,0.001036424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002287465,"about_ca_system_score_gemma":0.002892197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008770407,"about_ca_topic_score_gemma":0.008654616,"domain_scores_codex":[0.9989214,0.0002348949,0.000181742,0.0001285719,0.0004273136,0.0001061646],"domain_scores_gemma":[0.998983,0.0001334998,0.00006168593,0.0002180211,0.0004706739,0.0001331503],"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":[0.0007955766,0.0005049547,0.003784153,0.0006155912,0.0001525888,0.0008073618,0.001243061,0.09274607,0.07505197,0.511365,0.03340017,0.2795337],"study_design_scores_gemma":[0.00009388366,0.0002600245,0.0009591405,0.0001132285,0.0001362905,0.0006030665,0.0003121068,0.7156461,0.03898596,0.04834853,0.1943965,0.0001450626],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02057881,0.001229228,0.9539758,0.001448245,0.0004031007,0.0004744391,0.0001796774,0.007098932,0.01461178],"genre_scores_gemma":[0.4553985,0.002173863,0.5182934,0.0009116445,0.0002496833,0.0004654842,0.001232707,0.0003022325,0.02097245],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008770407,"threshold_uncertainty_score":0.01743871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02108624821170868,"score_gpt":0.2560536015294551,"score_spread":0.2349673533177464,"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."}}