{"id":"W3204080079","doi":"10.1109/tmc.2021.3116157","title":"New Routing Protocol for Reliability to Intelligent Transportation Communication","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Mobile Computing","topic":"IoT Networks and Protocols","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Computer network; Zone Routing Protocol; Enhanced Interior Gateway Routing Protocol; Link-state routing protocol; Dynamic Source Routing; Wireless Routing Protocol; Routing protocol; Static routing; Routing Information Protocol; Distributed computing; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002640006,0.0001676792,0.000182823,0.00005265793,0.0002336916,0.00006523351,0.0001458097,0.00009181376,0.00008723042],"category_scores_gemma":[0.00000531744,0.0001892422,0.0001298639,0.0003166036,0.00000880579,0.00008365714,8.995052e-7,0.0002523937,0.00001739733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001215686,"about_ca_system_score_gemma":0.00005679705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002083759,"about_ca_topic_score_gemma":0.00006818501,"domain_scores_codex":[0.9988869,0.00004891506,0.0004332429,0.0002505857,0.0001225966,0.0002577236],"domain_scores_gemma":[0.9990984,0.0002324865,0.00004156798,0.0003903811,0.0001247578,0.0001124035],"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":[0.00003182946,0.00004315789,0.000008939757,0.0001006303,0.0000129102,4.303483e-7,0.0005405589,0.8050449,0.0005175361,0.0000289805,0.0004259747,0.1932441],"study_design_scores_gemma":[0.001426027,0.0003011261,0.0001709971,0.0007843389,0.00003278098,0.000004146381,0.0002544195,0.7369637,0.2070101,0.0003842011,0.05212242,0.0005457709],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001342535,0.000004358088,0.8661547,0.00004096781,0.0002034368,0.1317792,0.000009100277,0.0003023459,0.0001633309],"genre_scores_gemma":[0.5090993,0.00000195933,0.0742837,0.00008684802,0.0001469302,0.4161709,0.00001408466,0.00006027026,0.0001360476],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.791871,"threshold_uncertainty_score":0.7717075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02452088362684952,"score_gpt":0.3108057120607756,"score_spread":0.2862848284339261,"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."}}