{"id":"W2059695363","doi":"10.1007/s11277-013-1278-6","title":"SDR: A Stable Direction-Based Routing for Vehicular Ad Hoc Networks","year":2013,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Computer network; Link-state routing protocol; Destination-Sequenced Distance Vector routing; Dynamic Source Routing; Optimized Link State Routing Protocol; Distributed computing; Routing protocol; Wireless Routing Protocol; 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":[0.0004452641,0.0002129802,0.0002439888,0.00008003513,0.001052018,0.0003823354,0.002463836,0.0001326026,0.00004414516],"category_scores_gemma":[0.00004558546,0.000222473,0.0001794325,0.0005741828,0.0001436829,0.0005379063,0.000507816,0.0004101726,0.00005574445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00014833,"about_ca_system_score_gemma":0.0001575569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001528044,"about_ca_topic_score_gemma":0.0002076794,"domain_scores_codex":[0.9982684,0.0002079053,0.0003451715,0.0004143261,0.0002488829,0.0005153384],"domain_scores_gemma":[0.9961414,0.0009808223,0.0001846697,0.00216725,0.0003646609,0.0001611649],"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":[0.00004111637,0.001279742,0.003436303,0.0001040052,0.0003430448,0.000003720949,0.004125219,0.06559547,0.002018229,0.1501852,0.02860666,0.7442613],"study_design_scores_gemma":[0.0003679917,0.00004835529,0.001221749,0.00005890296,0.00001435192,0.000003466642,0.0001043017,0.9723212,0.00003953114,0.0003640841,0.02520096,0.0002551219],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01064691,0.004330402,0.9755312,0.006286905,0.0002568547,0.001118968,0.00001037443,0.0004922768,0.001326148],"genre_scores_gemma":[0.9273454,0.0002632287,0.06949406,0.0007684046,0.00008838462,0.001553804,0.00007037518,0.00003209293,0.0003842333],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9166985,"threshold_uncertainty_score":0.9072184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02347306494167618,"score_gpt":0.2558307683675451,"score_spread":0.2323577034258689,"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."}}