{"id":"W1943426223","doi":"10.1109/icccn.2000.885514","title":"Location trace aided routing in mobile ad hoc networks","year":2002,"lang":"en","type":"article","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer network; Computer science; Mobile ad hoc network; Optimized Link State Routing Protocol; Routing protocol; Wireless ad hoc network; Wireless Routing Protocol; Dynamic Source Routing; TRACE (psycholinguistics); Distributed computing; Node (physics); Destination-Sequenced Distance Vector routing; Routing (electronic design automation); Geographic routing; Ad hoc wireless distribution service; Adaptive quality of service multi-hop routing; Wireless; Engineering; Telecommunications; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001019629,0.0005904318,0.0007017644,0.0008374195,0.0004472836,0.0009531311,0.001338562,0.0009810013,0.001379252],"category_scores_gemma":[0.002788337,0.0003723921,0.0002784506,0.001462203,0.0007578517,0.002066306,0.0009361901,0.0007966457,0.0007494479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005156416,"about_ca_system_score_gemma":0.0005604653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00103829,"about_ca_topic_score_gemma":0.0008793318,"domain_scores_codex":[0.9989676,0.000389902,0.00005077209,0.00008851475,0.0004491703,0.00005396817],"domain_scores_gemma":[0.9988338,0.0005661531,0.0001127545,0.0002068824,0.000241811,0.00003857566],"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":[0.0002234452,0.0001681127,0.001086279,0.0005064015,0.00009827892,0.0003811803,0.0002315513,0.3398267,0.01906849,0.08154406,0.007870217,0.5489953],"study_design_scores_gemma":[0.00005700916,0.0004210764,0.0003925459,0.00007199228,0.00005076683,0.0006212353,0.00009399993,0.8926818,0.007604855,0.06074325,0.03720027,0.0000612268],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006318807,0.00482135,0.9841673,0.0002834659,0.0002126874,0.0001170124,0.00003643756,0.001191396,0.002851573],"genre_scores_gemma":[0.3880257,0.01300422,0.5870354,0.0003197075,0.0005668708,0.0003927466,0.00036864,0.0001709981,0.01011565],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001379252,"threshold_uncertainty_score":0.005392373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01499811978127373,"score_gpt":0.2264057671861839,"score_spread":0.2114076474049102,"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."}}