{"id":"W2023188917","doi":"10.1016/j.jnca.2008.02.012","title":"Quantitative analysis of location management and QoS in wireless networks","year":2008,"lang":"en","type":"article","venue":"Journal of Network and Computer Applications","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Computer science; Paging; Quality of service; Computer network; Mobility management; Wireless network; Call blocking; Wireless; Cellular network; Distributed computing; 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":[0.0005417197,0.0001003258,0.0003402631,0.0004608592,0.0001374596,0.00004610908,0.0006468297,0.00004906399,0.000001073662],"category_scores_gemma":[0.000001873858,0.00009425073,0.00006258855,0.002860365,0.0001310084,0.0002439443,0.0003373605,0.000218858,4.071074e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000029059,"about_ca_system_score_gemma":0.00003301256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007397319,"about_ca_topic_score_gemma":0.00001740001,"domain_scores_codex":[0.9986548,0.000156845,0.0005761508,0.0001904874,0.0002427369,0.0001789542],"domain_scores_gemma":[0.9984572,0.0003445096,0.0003879518,0.0004279792,0.0002901871,0.0000921644],"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":[0.00004283126,0.0002329554,0.03315237,0.00003113038,0.0006640641,0.00001256431,0.0007474407,0.6462683,0.00000531119,0.2138664,0.001425243,0.1035514],"study_design_scores_gemma":[0.0002337843,0.00006385228,0.2054169,0.00003870765,0.00004914243,0.0000229662,0.00001981826,0.7930062,0.000001010182,0.0005516643,0.0005260927,0.00006985504],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04229825,0.002190667,0.9549103,0.0002496482,0.00005122758,0.0001982594,3.671246e-7,0.000009798046,0.00009143056],"genre_scores_gemma":[0.8883264,0.005145254,0.106283,0.00006670185,0.000131077,0.00002726945,0.000002946872,0.000005042658,0.00001231341],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8486273,"threshold_uncertainty_score":0.3843433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0263695279297754,"score_gpt":0.2864087680297227,"score_spread":0.2600392400999473,"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."}}