{"id":"W1999547539","doi":"10.1145/2425248.2425278","title":"Network criticality in vehicular networks","year":2012,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Criticality; Centrality; Computer science; Robustness (evolution); Cluster analysis; Network science; Graph; Complex network; Metric (unit); Theoretical computer science; Distributed computing; Data mining; Computer network; Mathematics; Artificial intelligence; 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":[0.001479865,0.0004875004,0.0006290172,0.00302532,0.0009892917,0.001947888,0.0008231457,0.0007163665,0.0009514028],"category_scores_gemma":[0.01011032,0.0003515901,0.0003813539,0.001555568,0.002021426,0.003477621,0.001416536,0.0008916478,0.0001436275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001967431,"about_ca_system_score_gemma":0.0007184541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002986505,"about_ca_topic_score_gemma":0.001610973,"domain_scores_codex":[0.9986966,0.0003523816,0.00005595804,0.0003006925,0.0004190314,0.0001752449],"domain_scores_gemma":[0.9939947,0.003571945,0.0009135809,0.000305211,0.0008725901,0.0003420731],"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":[0.0001303414,0.00002927437,0.00501937,0.0002742866,0.00008818321,0.0004190312,0.0006391755,0.4833222,0.007031028,0.4488544,0.002411914,0.05178081],"study_design_scores_gemma":[0.00001223816,0.00007555602,0.002056746,0.0000701443,0.00003843975,0.0003624635,0.0003138726,0.5574581,0.003154094,0.4289378,0.007478635,0.0000418947],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1977253,0.005748313,0.7797974,0.001051444,0.0001483077,0.0001241938,0.0002422095,0.0003013133,0.01486152],"genre_scores_gemma":[0.982227,0.001710527,0.01454348,0.00005920426,0.0001372635,0.00005608239,0.0000939689,0.00004022196,0.001132202],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00302532,"threshold_uncertainty_score":0.01427478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0660193517817655,"score_gpt":0.3624161608344549,"score_spread":0.2963968090526894,"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."}}