{"id":"W2127155545","doi":"10.1109/lcomm.2007.061696","title":"Accurate Upper Bound of SINR-based Call Admission Threshold in CDMA Systems with Imperfect Power Control","year":2007,"lang":"en","type":"article","venue":"IEEE Communications Letters","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Memorial University of Newfoundland","funders":"","keywords":"Signal-to-interference-plus-noise ratio; Computer science; Value (mathematics); Interference (communication); Signal-to-noise ratio (imaging); Discrete mathematics; Algorithm; Mathematics; Computer network; Power (physics); Telecommunications; Physics; Machine learning","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":[0.003628278,0.001572292,0.001933456,0.001791472,0.001434814,0.004012625,0.002167426,0.001626753,0.002080071],"category_scores_gemma":[0.02529566,0.000889848,0.000563807,0.001500183,0.001731353,0.002976804,0.002745088,0.002725749,0.0007340854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003986327,"about_ca_system_score_gemma":0.004994394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01713093,"about_ca_topic_score_gemma":0.00993217,"domain_scores_codex":[0.9951604,0.001052634,0.0002788181,0.0007798255,0.001886615,0.0008417956],"domain_scores_gemma":[0.9908339,0.00521221,0.0006019854,0.0009769708,0.002037847,0.0003370115],"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":[0.0003192011,0.00005847034,0.002319669,0.0001952217,0.00005274241,0.0002564575,0.0002851135,0.8999329,0.00864594,0.04594115,0.002684604,0.03930853],"study_design_scores_gemma":[0.000006122573,0.0000148386,0.0002360872,0.00001983055,0.000008646457,0.00003298849,0.0000151781,0.9927145,0.001181445,0.005415252,0.0003367658,0.00001841774],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03530944,0.002276357,0.9537824,0.0005440355,0.0002512381,0.00008764409,0.0002210376,0.001067056,0.006460818],"genre_scores_gemma":[0.9244076,0.001295847,0.07103509,0.0002009682,0.000187119,0.000126498,0.0003258864,0.0001136159,0.002307332],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01713093,"threshold_uncertainty_score":0.03406245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02831401848733707,"score_gpt":0.3029068505119373,"score_spread":0.2745928320246003,"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."}}