{"id":"W1570912205","doi":"10.1109/icccn.2002.1043127","title":"MobileGrid: capacity-aware topology control in mobile ad hoc networks","year":2003,"lang":"en","type":"article","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Computer network; Wireless ad hoc network; Mobile ad hoc network; Node (physics); Topology control; Network topology; Distributed computing; Network performance; Transmission (telecommunications); Topology (electrical circuits); Wireless network; Wireless; Key distribution in wireless sensor networks; Network packet; Telecommunications; Engineering","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":[0.0006732618,0.0002934081,0.0004482442,0.000138793,0.0001027933,0.0001093333,0.001022499,0.0002852902,0.0004324658],"category_scores_gemma":[0.00003429196,0.0002688921,0.0001099336,0.0007128515,0.0001228328,0.0004214527,0.0001360965,0.0005383819,0.000120678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001203717,"about_ca_system_score_gemma":0.000086544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002691938,"about_ca_topic_score_gemma":0.0004861099,"domain_scores_codex":[0.9972231,0.0003997734,0.0004854364,0.0007592323,0.0002365663,0.0008959277],"domain_scores_gemma":[0.9981245,0.0003672873,0.0001102407,0.00111033,0.00008175946,0.0002058497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005325935,0.0008484814,0.01124343,0.0000317508,0.0001053537,0.0003613817,0.001129697,0.265393,0.0001718533,0.4100144,0.02608776,0.2845596],"study_design_scores_gemma":[0.003449097,0.0006317606,0.001144099,0.00003567686,0.00001322215,0.0001667938,0.0001735049,0.5919807,0.0002484967,0.006345512,0.3948612,0.0009499651],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0120421,0.004659543,0.9721259,0.0002112724,0.001370115,0.0009091866,0.000001963887,0.0003186869,0.008361247],"genre_scores_gemma":[0.9842211,0.0004571376,0.01155917,0.002364691,0.000107741,0.0005246646,0.000002410147,0.0000238215,0.0007392722],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.972179,"threshold_uncertainty_score":0.9999763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009695571982506373,"score_gpt":0.2241487619674714,"score_spread":0.214453189984965,"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."}}