{"id":"W2207212001","doi":"10.1109/milcom.2015.7357528","title":"An optimized link scheduling technique for mobile ad hoc networks using directional antennas","year":2015,"lang":"en","type":"article","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Computer science; Fair-share scheduling; Dynamic priority scheduling; Round-robin scheduling; Distributed computing; Rate-monotonic scheduling; Computer network; Two-level scheduling; Mobile ad hoc network; Scheduling (production processes); Earliest deadline first scheduling; Mathematical optimization; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.001086123,0.0002308171,0.000290804,0.0001116956,0.0001974314,0.0002723785,0.0008776792,0.0002197964,0.00001785019],"category_scores_gemma":[0.00004097356,0.000215363,0.00011796,0.000495461,0.00005370176,0.0008852094,0.0002302217,0.0002532356,0.000005406466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001337951,"about_ca_system_score_gemma":0.0001967541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001060528,"about_ca_topic_score_gemma":0.000006829916,"domain_scores_codex":[0.998105,0.0001035993,0.0003607081,0.0006410026,0.0002684634,0.0005212576],"domain_scores_gemma":[0.9982513,0.000159161,0.0001347912,0.0007564704,0.0003704966,0.0003277568],"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":[0.00005942131,0.00008578614,0.00003573309,0.000005332301,0.00002182358,0.000005884048,0.00008707237,0.955128,0.002380974,0.002180411,0.0003984403,0.03961114],"study_design_scores_gemma":[0.0007149503,0.0003289983,0.000006083481,0.00003293105,0.00000925484,0.00005005482,0.00002915985,0.9914915,0.001497855,0.001267058,0.004276447,0.0002957089],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001353547,0.001463843,0.9940515,0.00009717824,0.0008538089,0.001204209,0.000001474615,0.0006182106,0.0003562083],"genre_scores_gemma":[0.06728051,0.00006550774,0.9309343,0.0002812431,0.0006379655,0.0006108891,0.00001081835,0.0000339236,0.000144863],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.06592696,"threshold_uncertainty_score":0.8782248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03576103174133035,"score_gpt":0.2974933303737653,"score_spread":0.261732298632435,"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."}}