{"id":"W2113358876","doi":"10.1109/glocom.2007.142","title":"Optimal Channel Assignment in Multi-Hop Cellular Networks","year":2007,"lang":"en","type":"article","venue":"","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer network; Computer science; Wireless ad hoc network; Hop (telecommunications); Network packet; Distributed computing; Channel (broadcasting); Network topology; Heuristics; Wireless; Telecommunications","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":[0.0005818468,0.0004460495,0.0004959168,0.0007217213,0.0006369784,0.0009513652,0.0005485221,0.0006681083,0.0009167901],"category_scores_gemma":[0.003169042,0.000324623,0.0001781101,0.00105061,0.001010736,0.0008348317,0.0007153784,0.0004871615,0.0002051495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008753713,"about_ca_system_score_gemma":0.0009583242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003058922,"about_ca_topic_score_gemma":0.0025618,"domain_scores_codex":[0.9992777,0.0002862914,0.00002228843,0.00009857572,0.0001801937,0.0001350308],"domain_scores_gemma":[0.9989532,0.0007048082,0.000104086,0.00006823334,0.0001125402,0.00005704513],"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":[0.00003978514,0.00001821424,0.0003916337,0.00006021688,0.00001252444,0.00005119599,0.00004902616,0.9270585,0.001135248,0.03731952,0.0009671742,0.03289692],"study_design_scores_gemma":[0.00001553846,0.00001729357,0.000101166,0.0000105316,0.000007513456,0.00003437879,0.00003009019,0.9597609,0.0006624698,0.0379501,0.00140064,0.000009406691],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04027072,0.001793156,0.9514318,0.0002597337,0.00009734146,0.00004987144,0.00006536194,0.0002195775,0.005812461],"genre_scores_gemma":[0.8717188,0.001630657,0.1234408,0.0000961084,0.00008530801,0.0001267798,0.00007941964,0.00004487642,0.0027773],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003058922,"threshold_uncertainty_score":0.006351292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05674194663350821,"score_gpt":0.2904653588608626,"score_spread":0.2337234122273543,"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."}}