{"id":"W1963519131","doi":"10.1002/wcm.108","title":"Robust position‐based routing in wireless ad hoc networks with irregular transmission ranges","year":2003,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":115,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Universitat de Barcelona","keywords":"Computer network; Computer science; Wireless Routing Protocol; Wireless ad hoc network; Flooding (psychology); Dynamic Source Routing; Optimized Link State Routing Protocol; Ad hoc wireless distribution service; Routing protocol; Geographic routing; Destination-Sequenced Distance Vector routing; Mobile ad hoc network; Link-state routing protocol; Distributed computing; Network packet; Wireless; Telecommunications","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008941613,0.0003173175,0.0004032118,0.0001767085,0.0007797714,0.0002766262,0.001434988,0.00015662,0.0000048757],"category_scores_gemma":[0.000006658632,0.0003021856,0.00006985544,0.001025008,0.0002104821,0.0003311778,0.0003821502,0.0005871076,0.000001589704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009578805,"about_ca_system_score_gemma":0.0001169212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002238648,"about_ca_topic_score_gemma":0.00006914877,"domain_scores_codex":[0.9974416,0.0006044453,0.0005325013,0.0006109594,0.0002469294,0.0005635649],"domain_scores_gemma":[0.9969322,0.0005745377,0.0002425287,0.001942437,0.0001356225,0.0001726794],"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":[0.00002120734,0.0003797046,0.002206151,0.0000480795,0.00002941366,0.00001798606,0.001408196,0.2524227,0.0003982317,0.02535493,0.00002988615,0.7176835],"study_design_scores_gemma":[0.00113402,0.000132531,0.0009037473,0.0005960471,0.00001392103,0.00004388656,0.0001992367,0.9942476,0.0001965959,0.00006355908,0.002079198,0.0003897077],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1227669,0.006303963,0.8692278,0.0003574184,0.00006643692,0.0006198342,9.71625e-7,0.0002187774,0.0004378807],"genre_scores_gemma":[0.8710636,0.00118949,0.1273654,0.0001794645,0.00001916693,0.0001155189,0.00002099387,0.00003325304,0.00001311758],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7482967,"threshold_uncertainty_score":0.999943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01790155695241124,"score_gpt":0.2352750917105086,"score_spread":0.2173735347580973,"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."}}