{"id":"W2121480725","doi":"10.1109/lcn.2001.990775","title":"A scalable location management scheme in mobile ad-hoc networks","year":2002,"lang":"en","type":"article","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":165,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Computer network; Server; Geographic routing; Wireless ad hoc network; Node (physics); Scalability; Mobile ad hoc network; Overhead (engineering); Distributed computing; Stateless protocol; Routing (electronic design automation); Routing protocol; Optimized Link State Routing Protocol; Dynamic Source Routing; Wireless; Database","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":[0.001652475,0.0005251804,0.0005862416,0.0008956745,0.001102823,0.0008660834,0.001604129,0.001096336,0.001250875],"category_scores_gemma":[0.003724744,0.0002635392,0.0003161914,0.001678924,0.001126107,0.003015064,0.00275041,0.0008480788,0.0007510548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006399753,"about_ca_system_score_gemma":0.0006532752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005939909,"about_ca_topic_score_gemma":0.0005738151,"domain_scores_codex":[0.9985876,0.000405224,0.0001107542,0.0001485981,0.0006494637,0.00009836422],"domain_scores_gemma":[0.9986319,0.0003160964,0.000179699,0.0004921705,0.0002611919,0.0001190224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004245611,0.0001648443,0.0009203691,0.0004470443,0.00008108386,0.0007490437,0.0006007169,0.1269852,0.06198708,0.2745411,0.01521717,0.5178818],"study_design_scores_gemma":[0.0002314166,0.0008527892,0.0006462295,0.00007540821,0.0001018413,0.001061672,0.0001552579,0.7964559,0.01760878,0.0988115,0.08386139,0.0001378569],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01755072,0.001638282,0.9735985,0.0005645081,0.0002933749,0.0002565163,0.00007770253,0.001523493,0.004497039],"genre_scores_gemma":[0.508302,0.001401733,0.482041,0.0003240407,0.0005107704,0.0006302276,0.0003635617,0.00007782994,0.006348847],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001652475,"threshold_uncertainty_score":0.008739233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01163512742696489,"score_gpt":0.2171675016796328,"score_spread":0.2055323742526679,"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."}}