{"id":"W2106143114","doi":"10.1109/iwwan.2004.1525551","title":"Vehicle traffic microsimulator for ad hoc networks research","year":2006,"lang":"en","type":"article","venue":"","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Wireless ad hoc network; Computer science; Cellular automaton; Mobile ad hoc network; Vehicular ad hoc network; Traffic flow (computer networking); Computer network; Distributed computing; Mobility model; Optimized Link State Routing Protocol; Ad hoc wireless distribution service; Telecommunications; Wireless; Artificial intelligence; Network packet","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":[0.0007033032,0.0008415859,0.0004932287,0.0006309294,0.000269161,0.0006052791,0.00115571,0.0006069951,0.007161493],"category_scores_gemma":[0.002689034,0.0002874358,0.0005792439,0.0007467591,0.0002043494,0.0009457371,0.0006268349,0.001009758,0.002046015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003861919,"about_ca_system_score_gemma":0.0006154874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009915036,"about_ca_topic_score_gemma":0.0007736422,"domain_scores_codex":[0.9997131,0.0001074577,0.0000204053,0.00003482963,0.0001026681,0.00002152485],"domain_scores_gemma":[0.9992194,0.0003939537,0.00006271898,0.0001224844,0.000163197,0.00003822187],"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":[0.0001755037,0.0001894779,0.001680698,0.0005243406,0.0001518768,0.0002512819,0.0001755003,0.6657749,0.01460067,0.1053294,0.02045703,0.1906893],"study_design_scores_gemma":[0.00003528102,0.000120215,0.00024485,0.00005461753,0.00003001826,0.00007438227,0.00001773358,0.9293326,0.008342356,0.009330676,0.05239606,0.00002115653],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01411824,0.0008702588,0.9660032,0.0002156043,0.0002818145,0.0001865254,0.0008652604,0.006788842,0.0106702],"genre_scores_gemma":[0.213939,0.002540782,0.76378,0.0001663302,0.0001193133,0.001522617,0.00316318,0.002129188,0.01263967],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007161493,"threshold_uncertainty_score":0.02395761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01790738624459593,"score_gpt":0.2639497378915278,"score_spread":0.2460423516469319,"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."}}