{"id":"W1979634439","doi":"10.1145/2069131.2069135","title":"A novel multi-hop clustering scheme for vehicular ad-hoc networks","year":2011,"lang":"en","type":"article","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":132,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Vehicular ad hoc network; Wireless ad hoc network; Computer science; Cluster analysis; Computer network; Mobility model; Wireless; Mobile ad hoc network; Intelligent transportation system; Hop (telecommunications); Distributed computing; Scheme (mathematics); Ad hoc wireless distribution service; Optimized Link State Routing Protocol; Telecommunications; Engineering; Artificial intelligence","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":[0.0005472846,0.0007022738,0.0007290408,0.00124394,0.00125925,0.0006681656,0.002442481,0.001073528,0.001241036],"category_scores_gemma":[0.001152334,0.0002413952,0.0006254543,0.002070678,0.0003685856,0.00154413,0.0009859308,0.0008801495,0.001147523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001011572,"about_ca_system_score_gemma":0.0009961126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003149781,"about_ca_topic_score_gemma":0.004979389,"domain_scores_codex":[0.9992567,0.0001344213,0.00006296501,0.0001398222,0.0003378346,0.0000682294],"domain_scores_gemma":[0.9993595,0.00006290774,0.00004910261,0.0001441653,0.000335109,0.00004914262],"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":[0.0003483345,0.0001825083,0.0007639374,0.0004571608,0.0001591908,0.0004087546,0.0003741746,0.1805322,0.07567187,0.0571771,0.01932422,0.6646006],"study_design_scores_gemma":[0.00009584999,0.0003368862,0.0006472238,0.00004335586,0.00007756486,0.0009824835,0.0001055207,0.8765997,0.02910888,0.01394047,0.07791159,0.0001505211],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008080977,0.0009421257,0.9848825,0.0002181702,0.0003910329,0.0003017026,0.0001348377,0.0009863829,0.004062239],"genre_scores_gemma":[0.2194699,0.001428464,0.7663109,0.0002377687,0.0001770383,0.0004791557,0.0008128295,0.0001393233,0.01094472],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003149781,"threshold_uncertainty_score":0.007339478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04842265875544571,"score_gpt":0.252965318839409,"score_spread":0.2045426600839633,"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."}}