{"id":"W1571783273","doi":"10.1109/iscc.2004.1358445","title":"Joint rate allocation and routing scheme in multihop cellular CDMA networks","year":2004,"lang":"en","type":"article","venue":"","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Base station; Telecommunications link; Heuristic; Knapsack problem; Cellular network; Relay; Joint (building); Mathematical optimization; Computer network; Code division multiple access; Scheme (mathematics); Throughput; Routing (electronic design automation); Resource allocation; Algorithm; Mathematics; Wireless; Telecommunications; Engineering","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":[0.0005330538,0.00008856122,0.00009891704,0.00006408772,0.0001268706,0.0001303292,0.0002916173,0.00003897994,0.000008063346],"category_scores_gemma":[0.00004150995,0.00008332334,0.00001762523,0.0003613428,0.00002530271,0.0003152556,0.0003323295,0.0001519979,0.00001091732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000548419,"about_ca_system_score_gemma":0.00002945301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000030365,"about_ca_topic_score_gemma":0.0001461277,"domain_scores_codex":[0.9992343,0.00009047108,0.0002073603,0.0002277491,0.00006513186,0.0001749522],"domain_scores_gemma":[0.9994321,0.00004555721,0.00004781002,0.0003678616,0.00005438317,0.00005221622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004461965,0.000107085,0.00227842,0.00000712517,0.00001114529,0.00001001791,0.002354823,0.03059384,0.03034104,0.8093964,0.00006549099,0.1248301],"study_design_scores_gemma":[0.0005480787,0.00001915713,0.00620473,0.00004811023,7.419652e-7,0.000002046522,0.00003664873,0.9886088,0.003567134,0.0005565048,0.0002712448,0.0001367477],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09910575,0.0004199116,0.8965749,0.00237451,0.00007092742,0.0001258111,2.876672e-8,0.0000912974,0.001236859],"genre_scores_gemma":[0.958436,0.000332186,0.0405281,0.0005643528,0.00002623684,0.000008595492,0.000001839526,0.000004547481,0.00009817423],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.958015,"threshold_uncertainty_score":0.3397827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03644804525447013,"score_gpt":0.2517901208195268,"score_spread":0.2153420755650567,"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."}}