{"id":"W1981996428","doi":"10.1109/icc.2014.6884244","title":"Analysis of uplink transmissions in cellular networks: A stochastic geometry approach","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Telecommunications link; Computer science; Constraint (computer-aided design); Channel (broadcasting); Tuple; Algorithm; Topology (electrical circuits); Mathematics; Discrete mathematics; Computer network; Combinatorics; Geometry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001516265,0.00009633022,0.00028696,0.000499094,0.00001224796,0.00000473956,0.000084206,0.00007715512,0.00004126525],"category_scores_gemma":[0.00001969432,0.00009121157,0.0000723905,0.001697156,0.00001120713,0.00006006726,0.000007015113,0.00008558641,0.000001496968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002672595,"about_ca_system_score_gemma":0.000002840922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001393107,"about_ca_topic_score_gemma":0.000007905374,"domain_scores_codex":[0.9993498,0.00001874051,0.0002880289,0.0001283667,0.00006427676,0.000150766],"domain_scores_gemma":[0.9996313,0.00006462478,0.00002754123,0.0002076535,0.00002009556,0.00004874247],"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":[0.000001417073,0.0000165706,0.0002491998,0.00002944969,0.00009134677,1.090702e-7,0.00008043688,0.9976336,0.0004349621,0.0003633976,0.000006112995,0.001093361],"study_design_scores_gemma":[0.0001519216,0.000006010371,0.0002937443,0.00001327778,0.0001192351,1.646504e-7,0.00003948317,0.9991586,0.00009820474,0.0000162709,0.000008397537,0.00009468852],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005047908,0.0001790836,0.9921938,0.000002785969,0.00004132462,0.0001208912,8.731887e-7,0.000105938,0.00230737],"genre_scores_gemma":[0.972683,0.000006566648,0.02715512,0.000003434525,0.0000168571,0.00001431374,0.00003318882,0.0000192653,0.00006823057],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9676351,"threshold_uncertainty_score":0.37195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006365967055861924,"score_gpt":0.1972823799122181,"score_spread":0.1909164128563562,"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."}}