{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001014599,0.0007383424,0.0006322155,0.0009846246,0.0009390053,0.001288549,0.001304286,0.000880905,0.003847914],"category_scores_gemma":[0.002052868,0.0002286422,0.0006837542,0.001260118,0.0005881136,0.001854557,0.001108983,0.001942215,0.001936509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009819331,"about_ca_system_score_gemma":0.001533273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001255474,"about_ca_topic_score_gemma":0.001600047,"domain_scores_codex":[0.9987435,0.0003485332,0.0001711196,0.0001897941,0.0004450526,0.000102126],"domain_scores_gemma":[0.9989284,0.0001994145,0.0001120931,0.0001551051,0.0005620748,0.00004301843],"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":[0.0003495493,0.0001474173,0.0007932724,0.001511358,0.0001932417,0.0006556545,0.0004952346,0.01951555,0.03230437,0.3203121,0.1182558,0.5054665],"study_design_scores_gemma":[0.0001414495,0.0003958135,0.0006899055,0.0002883988,0.0002350112,0.001668711,0.0001949387,0.08851695,0.02434501,0.06601039,0.8173739,0.0001395782],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007484394,0.01495774,0.9212563,0.003274369,0.006592636,0.0009137134,0.001156603,0.003317775,0.04104646],"genre_scores_gemma":[0.3073392,0.02151486,0.5605431,0.004766003,0.003183074,0.00372751,0.005652492,0.0007481329,0.09252559],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003847914,"threshold_uncertainty_score":0.01287258,"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."}}