{"id":"W2120951131","doi":"10.1109/pacrim.1995.519450","title":"Reuse cluster size selection for a mobile packet radio system","year":2002,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Motorola (Canada); University of British Columbia","funders":"","keywords":"Throughput; Reuse; Computer science; Interference (communication); Network packet; Mobile radio; Cluster (spacecraft); Channel (broadcasting); Computer network; Selection (genetic algorithm); Packet radio; Frequency reuse; Telecommunications; Base station; Engineering; Wireless","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":[0.0007485938,0.0003372731,0.0004696252,0.0005997882,0.0005277032,0.000593851,0.0006268238,0.000348627,0.0008431994],"category_scores_gemma":[0.003541351,0.0001954319,0.0001597994,0.0006016584,0.0004835544,0.0005701801,0.0004334817,0.0002372068,0.0001894696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001288791,"about_ca_system_score_gemma":0.0007723619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003077502,"about_ca_topic_score_gemma":0.003165121,"domain_scores_codex":[0.9996023,0.0001578299,0.00001508356,0.00005246617,0.00009723056,0.00007504816],"domain_scores_gemma":[0.9985628,0.0008996552,0.000134873,0.0001117646,0.0002175983,0.00007338991],"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":[0.0005643733,0.00006944927,0.002690695,0.0001197319,0.00006168174,0.0002002732,0.0001509819,0.8486817,0.02668491,0.0108185,0.002323293,0.1076345],"study_design_scores_gemma":[0.00002692944,0.0001235656,0.0009187211,0.000005268408,0.00003044099,0.0001216,0.00005139918,0.9878113,0.006110735,0.003987287,0.0007965737,0.00001626864],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4892153,0.001412337,0.5011705,0.0005956834,0.00005712208,0.000157556,0.00009521541,0.0007698167,0.006526481],"genre_scores_gemma":[0.9665671,0.00018616,0.03235882,0.00002778148,0.00002393475,0.00003762026,0.0000319905,0.00002483187,0.0007416519],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003077502,"threshold_uncertainty_score":0.009350836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0294902326721345,"score_gpt":0.272208104733378,"score_spread":0.2427178720612435,"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."}}