{"id":"W3209179561","doi":"10.1109/mahss.2004.1392179","title":"Hop count optimal position based packet routing algorithms for ad hoc wireless networks with a realistic physical layer","year":2005,"lang":"en","type":"article","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Computer network; Destination-Sequenced Distance Vector routing; Link-state routing protocol; Dynamic Source Routing; Wireless Routing Protocol; Zone Routing Protocol; Algorithm; Routing protocol; Network packet; Distributed computing","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":[0.0004420593,0.0002908513,0.0003405681,0.00004891443,0.0002130221,0.0003256075,0.0006252149,0.0001096073,0.00001656949],"category_scores_gemma":[0.00001071856,0.0002292687,0.0001171834,0.0003708276,0.00006270016,0.0004989161,0.0001139899,0.000235585,0.00001555689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001615978,"about_ca_system_score_gemma":0.0001053423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001915609,"about_ca_topic_score_gemma":0.00006623622,"domain_scores_codex":[0.9977915,0.00008665262,0.0003174104,0.0007002896,0.0004426584,0.0006615494],"domain_scores_gemma":[0.9983429,0.0003837848,0.0001747489,0.0007047487,0.0002156057,0.0001782201],"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":[0.00016906,0.0003591783,0.00005857123,0.00001831325,0.00005342867,0.00002963655,0.0003373925,0.7787229,0.0001202896,0.03471861,0.006086925,0.1793257],"study_design_scores_gemma":[0.001058673,0.0004397344,0.000184917,0.00005969763,0.00002694381,0.00002149321,0.00001851685,0.9966835,0.0002582277,0.0001010674,0.0007987339,0.0003485167],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01821299,0.00003943669,0.9790517,0.001108164,0.0001261685,0.0006077116,0.000009547302,0.000299489,0.0005447877],"genre_scores_gemma":[0.7128751,0.000003629918,0.2851102,0.001039276,0.0006552788,0.0001463516,0.00004118668,0.00002833324,0.0001007235],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.694662,"threshold_uncertainty_score":0.9349306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01550947329105171,"score_gpt":0.2568385471824251,"score_spread":0.2413290738913734,"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."}}