{"id":"W2046871188","doi":"10.1109/icc.2010.5501789","title":"A New Aggregate Local Mobility &amp;#40;ALM&amp;#41; Clustering Algorithm for VANETs","year":2010,"lang":"en","type":"article","venue":"","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":123,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Cluster analysis; Computer science; Aggregate (composite); Node (physics); Cluster (spacecraft); Computer network; Scheme (mathematics); Distributed computing; Algorithm; Data mining; Artificial intelligence; Engineering; Mathematics","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":[0.0004268701,0.0004604651,0.0004531863,0.0001002076,0.0001156772,0.000121241,0.000425309,0.0003753991,0.0008190636],"category_scores_gemma":[0.00004765747,0.0004582032,0.0002355309,0.0002373319,0.00007372173,0.0002587041,0.0001440697,0.0006757914,0.0004075476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001181067,"about_ca_system_score_gemma":0.00006424802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003511487,"about_ca_topic_score_gemma":0.008914755,"domain_scores_codex":[0.9976546,0.00002602109,0.0004982431,0.0005482392,0.0002982483,0.0009746079],"domain_scores_gemma":[0.9982615,0.0001569357,0.00005469355,0.0009298137,0.00008377033,0.000513321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002034348,0.00003844539,0.00003255988,0.00009382066,0.0000969478,0.000006732966,0.0001325537,0.6044665,0.004105689,0.00007396149,0.01538141,0.375551],"study_design_scores_gemma":[0.0006962245,0.0000268158,0.0001429584,0.00002940803,0.00003200357,0.00007448671,0.00001208941,0.743789,0.0009811475,0.0003704579,0.2533852,0.0004602074],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0515365,0.0002812796,0.942304,0.00008711723,0.001824152,0.000784374,0.00002575443,0.001148563,0.002008267],"genre_scores_gemma":[0.2478366,0.00005598498,0.7419391,0.0002356949,0.001726803,0.0001648477,0.0001810987,0.0002793786,0.007580491],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3750908,"threshold_uncertainty_score":0.999787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0118361791624425,"score_gpt":0.2365923289795485,"score_spread":0.224756149817106,"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."}}