{"id":"W4242466174","doi":"10.1016/s1389-1286(04)00154-9","title":"Dynamic spectrum utilization in ad hoc networks☆","year":2004,"lang":"en","type":"article","venue":"Computer Networks","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"University of Waterloo; University of Toronto; University of Vermont; University of Saskatchewan; Connaught Fund; Arizona State University","keywords":"Computer science; Computer network; Network packet; Erasure; Wireless ad hoc network; Software deployment; Scheme (mathematics); Coding (social sciences); Distributed computing; Real-time computing; Wireless; Telecommunications","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008533351,0.0004461078,0.0005601582,0.0005725269,0.0006290433,0.001010595,0.000933221,0.0003716309,0.001642275],"category_scores_gemma":[0.002897373,0.0004328563,0.0001786547,0.0007708472,0.0006317746,0.001447381,0.0006235767,0.0004349876,0.0002261757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007715664,"about_ca_system_score_gemma":0.0005169545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001845651,"about_ca_topic_score_gemma":0.001678482,"domain_scores_codex":[0.9995578,0.0001327317,0.00001615993,0.00009024224,0.000088281,0.0001147485],"domain_scores_gemma":[0.9984533,0.001027017,0.0001048838,0.000118707,0.0002002997,0.00009581977],"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":[0.0007418607,0.0002607693,0.004420651,0.0001602062,0.00009261332,0.0003380722,0.000247753,0.7558232,0.01148734,0.07216036,0.003902325,0.1503648],"study_design_scores_gemma":[0.00001118972,0.00004863447,0.0005139947,0.000006881447,0.00001844545,0.00009350404,0.00007656254,0.9782848,0.0009176318,0.01929707,0.0007228837,0.000008427627],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3871064,0.002288529,0.5958294,0.0005385907,0.0002709793,0.00007195502,0.0001335439,0.0003738191,0.01338669],"genre_scores_gemma":[0.9854425,0.0003614043,0.01220595,0.00003034014,0.00005244336,0.00002231895,0.00003552295,0.00002505033,0.00182454],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001845651,"threshold_uncertainty_score":0.005598128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02618540285586608,"score_gpt":0.2838223095625619,"score_spread":0.2576369067066959,"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."}}