{"id":"W2088496159","doi":"10.1145/2512921.2512933","title":"A distributed clustering algorithm for target tracking in vehicular ad-hoc networks","year":2013,"lang":"en","type":"article","venue":"","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Computer science; Cluster analysis; Vehicular ad hoc network; Wireless ad hoc network; Computer network; Context (archaeology); Distributed computing; Machine learning; 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":[0.0007681634,0.0007602268,0.000912669,0.001441578,0.001355376,0.0008335297,0.00196154,0.001010711,0.001383203],"category_scores_gemma":[0.001898312,0.0003382213,0.0006269738,0.002082554,0.0004385566,0.001320788,0.001085347,0.0008219907,0.0009666378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00105197,"about_ca_system_score_gemma":0.00149953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006302725,"about_ca_topic_score_gemma":0.007482901,"domain_scores_codex":[0.9992235,0.0001505906,0.00005559447,0.0001993141,0.0003178982,0.00005312379],"domain_scores_gemma":[0.9993328,0.0001326271,0.0000515303,0.0000856586,0.000362768,0.00003452975],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001929494,0.0001119626,0.0009337307,0.0002244551,0.0001363633,0.0001260089,0.0002206731,0.372886,0.01483011,0.02341898,0.009747409,0.5771714],"study_design_scores_gemma":[0.00006504696,0.0001612072,0.0005831803,0.00002809878,0.00004480997,0.0002647342,0.00008535873,0.9634722,0.006773787,0.009643133,0.01882025,0.00005814945],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004200613,0.0004444432,0.9926333,0.0001029625,0.0001129221,0.0001248177,0.00004878729,0.0006618946,0.001670295],"genre_scores_gemma":[0.1136032,0.0006748345,0.8793562,0.0001118872,0.00007405329,0.0003077476,0.0004225936,0.0001359171,0.005313642],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006302725,"threshold_uncertainty_score":0.01253206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007435517683568107,"score_gpt":0.2090648877687117,"score_spread":0.2016293700851436,"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."}}