{"id":"W2126524517","doi":"10.1109/glocom.2008.ecp.117","title":"Optimal Cell Size in Multi-Hop Cellular Networks","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Hop (telecommunications); Cellular network; Computer network; Context (archaeology); Small cell; Distributed computing","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":[0.00004067065,0.0001527504,0.0001528127,0.00004615971,0.0000387014,0.000007329339,0.0001013739,0.0001096287,0.0001405361],"category_scores_gemma":[0.000008210377,0.0001658126,0.00003361913,0.0002849158,0.00002421744,0.0001520468,0.00002414046,0.0001925013,0.00003943535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006127844,"about_ca_system_score_gemma":0.00000607584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006523187,"about_ca_topic_score_gemma":0.00001181009,"domain_scores_codex":[0.9992149,0.00001336469,0.0002114892,0.0001611342,0.00008119409,0.0003178788],"domain_scores_gemma":[0.9996607,0.0000653436,0.00001778515,0.0001751495,0.00001815715,0.00006282573],"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":[0.000003545327,0.00002465069,0.0008291901,0.000006733953,0.000002736967,0.00003425665,0.00008259931,0.9973762,0.0008736756,0.00001139775,0.0005147748,0.0002402399],"study_design_scores_gemma":[0.000537715,0.000007974766,0.0005966588,0.00000740062,0.000001871147,0.000003339032,0.00002082092,0.9946935,0.003491485,0.000001892917,0.0004397789,0.0001976002],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1246628,0.0005567973,0.8703094,0.000005719539,0.0001913037,0.0001321996,5.021743e-7,0.0003915835,0.00374965],"genre_scores_gemma":[0.8481921,0.0005252213,0.1501868,0.00002721431,0.00007125721,0.00001387763,0.000008514177,0.00004891406,0.000926055],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7235293,"threshold_uncertainty_score":0.676164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009735187687416878,"score_gpt":0.1928512593952285,"score_spread":0.1831160717078116,"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."}}