{"id":"W2079511712","doi":"10.1145/1551950.1551961","title":"Towards comprehensive RRM frameworks for heterogeneous wireless networks","year":2009,"lang":"en","type":"article","venue":"","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Radio resource management; Standardization; Computer science; Status quo; Wireless; Wireless network; Resource management (computing); Heterogeneous network; Computer network; Resource (disambiguation); Risk analysis (engineering); Telecommunications; Business","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":[0.02215235,0.001446802,0.001884054,0.002028863,0.002213138,0.007258217,0.007656109,0.004648193,0.002209212],"category_scores_gemma":[0.01554004,0.001686338,0.002783623,0.001708355,0.003898978,0.01231611,0.009659412,0.007450513,0.001548138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002462925,"about_ca_system_score_gemma":0.004714258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002043115,"about_ca_topic_score_gemma":0.002662543,"domain_scores_codex":[0.99097,0.003397838,0.001044802,0.0008812015,0.003079151,0.0006270198],"domain_scores_gemma":[0.9932572,0.001964194,0.0006582377,0.002074472,0.00149601,0.0005499263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001469401,0.00004080758,0.0001608593,0.0001770102,0.00003498399,0.0001051326,0.0003220748,0.02298934,0.00112006,0.9357293,0.003533296,0.03577248],"study_design_scores_gemma":[0.0000363833,0.00007737418,0.0001487339,0.0003599306,0.00008599858,0.0002474187,0.0002494997,0.3160419,0.002266265,0.5396739,0.1407183,0.00009427674],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0008563871,0.0008209693,0.9934958,0.0008360851,0.000114996,0.0001238271,0.00002500726,0.0006105553,0.003116371],"genre_scores_gemma":[0.03729426,0.001737931,0.9562226,0.0004218178,0.0003502129,0.0005896176,0.0001581714,0.0003066172,0.002918755],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02215235,"threshold_uncertainty_score":0.1171542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02047696872988224,"score_gpt":0.2833882474090721,"score_spread":0.2629112786791899,"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."}}