{"id":"W2172164537","doi":"10.1145/1143549.1143663","title":"Effective channel assignment in multi-hop W-CDMA cellular networks","year":2006,"lang":"en","type":"article","venue":"","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Computer network; Channel (broadcasting); Throughput; Hop (telecommunications); Channel allocation schemes; Code division multiple access; Spread spectrum; Flexibility (engineering); Wireless; Telecommunications; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000643492,0.0003110924,0.0002973234,0.0004407655,0.0004409441,0.0006430041,0.0004090754,0.0003739453,0.0004168019],"category_scores_gemma":[0.002010142,0.0002182591,0.0001070285,0.0005145209,0.0006956437,0.0006682255,0.0004838869,0.0003860579,0.000126535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004334212,"about_ca_system_score_gemma":0.0004815134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001293643,"about_ca_topic_score_gemma":0.00136203,"domain_scores_codex":[0.9994103,0.0002741677,0.00001765208,0.00006903282,0.0001470009,0.00008194076],"domain_scores_gemma":[0.9991739,0.000509459,0.00009659769,0.00008571853,0.00009426934,0.00004009945],"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":[0.0000883921,0.00003633706,0.0007782654,0.00008308106,0.00001867765,0.0001364907,0.00008400685,0.8257648,0.01450901,0.0577945,0.000846426,0.09986002],"study_design_scores_gemma":[0.00001243232,0.00005186772,0.0001827193,0.000007061026,0.000007499962,0.00006309307,0.00002991451,0.9763776,0.004139339,0.01730365,0.001814413,0.00001041809],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04860622,0.0009423631,0.948147,0.00008590285,0.00005304347,0.00003174628,0.00001832025,0.0001747108,0.001940761],"genre_scores_gemma":[0.8874463,0.0008230411,0.1093954,0.00006455225,0.00005263684,0.00008885733,0.00003280781,0.00002083232,0.002075453],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001293643,"threshold_uncertainty_score":0.003403127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02621339169967274,"score_gpt":0.257359931938924,"score_spread":0.2311465402392513,"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."}}