{"id":"W2140425963","doi":"10.1109/glocom.2007.990","title":"Multicell Downlink OFDM Subchannel Allocations Using Dynamic Intercell Coordination","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Telecommunications link; Orthogonal frequency-division multiplexing; Quality of service; Computer network; Throughput; Channel allocation schemes; Interference (communication); Channel (broadcasting); 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001244769,0.00013884,0.0001059607,0.0001549556,0.00007416831,0.0000211639,0.00009461032,0.00009056073,0.00006174062],"category_scores_gemma":[0.00001542981,0.0001548383,0.00003321382,0.0003304711,0.00002231794,0.0002500636,0.00002059347,0.0001218367,0.00004687541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000241203,"about_ca_system_score_gemma":0.000006798019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001204076,"about_ca_topic_score_gemma":0.0001405895,"domain_scores_codex":[0.9992112,0.000008953911,0.0002657685,0.0001526422,0.0001006318,0.000260834],"domain_scores_gemma":[0.9995685,0.00006624709,0.00003704662,0.0001724327,0.00009129645,0.00006444151],"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":[0.000003574621,0.00001673436,0.00004730398,0.00001627737,0.000009613962,0.000001333943,0.0001234418,0.9814877,0.01361112,0.0002638669,0.00005459864,0.004364446],"study_design_scores_gemma":[0.0002233303,0.000007178318,0.0001966107,0.00001968276,0.00001212176,0.000002514094,0.0001306871,0.9938656,0.004902595,0.00007571181,0.0003852934,0.0001786419],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1075889,0.00008369799,0.8885711,0.00002263813,0.0003558829,0.0001728493,0.000001808821,0.0004703575,0.0027327],"genre_scores_gemma":[0.9116812,0.00003666589,0.08760528,0.00002861052,0.00006062064,0.00000273237,0.00005682997,0.00004422366,0.0004838322],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8040923,"threshold_uncertainty_score":0.6314124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008493860169159763,"score_gpt":0.2455089768171971,"score_spread":0.2370151166480373,"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."}}