{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001236341,0.0005446865,0.0007210562,0.000764481,0.00038684,0.000858964,0.001386898,0.0009091348,0.0005292194],"category_scores_gemma":[0.004042798,0.0003848866,0.0003751103,0.0007540459,0.001034656,0.001646191,0.001215383,0.0005814917,0.0003764424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004018647,"about_ca_system_score_gemma":0.0002738141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005779254,"about_ca_topic_score_gemma":0.0003387586,"domain_scores_codex":[0.9991331,0.0002925512,0.00007182031,0.0001143425,0.0003227733,0.00006552973],"domain_scores_gemma":[0.9980953,0.0008689851,0.0004623877,0.0003492639,0.0001625938,0.00006137521],"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":[0.0001682432,0.00003726366,0.0006229354,0.0001752386,0.0000575441,0.0005002973,0.0001642197,0.8519275,0.02910223,0.03310544,0.001181921,0.08295717],"study_design_scores_gemma":[0.00003226667,0.0001457731,0.0002945433,0.00001683513,0.00002759372,0.0002563578,0.00002991959,0.970727,0.005752623,0.01922091,0.003472577,0.00002365724],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05939256,0.002350355,0.934072,0.0003299233,0.0001127985,0.00006609653,0.00005252947,0.000956618,0.002667123],"genre_scores_gemma":[0.8091769,0.001704218,0.1858748,0.0001072057,0.0001778459,0.0001183568,0.0001775994,0.0001143793,0.002548733],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001386898,"threshold_uncertainty_score":0.006538451,"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."}}