{"id":"W1988969976","doi":"10.1145/2507924.2507945","title":"Understanding the benefits of open access in Femtocell networks","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Femtocell; Macrocell; Correctness; Computer science; Stochastic geometry; Telecommunications link; Interference (communication); Computer network; Upper and lower bounds; Mathematics; Algorithm; Base station; Statistics","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":[0.0000801885,0.00005804094,0.00009111522,0.00003870845,0.0000184139,0.0001264564,0.0004463645,0.00003273494,0.0001272643],"category_scores_gemma":[0.000006393835,0.00004176004,0.000009448454,0.0002418355,0.000009344229,0.0007756567,0.0001445925,0.00005668839,0.00000628629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006928676,"about_ca_system_score_gemma":0.000003313082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001972109,"about_ca_topic_score_gemma":0.0002484931,"domain_scores_codex":[0.9996181,0.000009808944,0.0001590888,0.00006424516,0.00003741858,0.0001112984],"domain_scores_gemma":[0.9997489,0.0000512482,0.00002538084,0.0001424728,0.00001576282,0.00001621691],"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":[6.160059e-7,0.00000232507,0.001634653,0.000009882096,0.000003467171,5.003053e-8,0.00006039977,0.9934247,0.00002684877,0.003810562,0.0006928224,0.000333679],"study_design_scores_gemma":[0.0001748704,0.000003515536,0.001783482,0.00004061615,0.000001579084,4.493902e-7,0.0002956828,0.9962427,0.0002765841,0.001091628,0.00001773435,0.00007116915],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005527937,0.0001373608,0.9479529,0.00004374123,0.0001133916,0.0005696228,4.1639e-7,0.00004897821,0.0456057],"genre_scores_gemma":[0.9987022,0.0000492633,0.000984698,0.00001974679,0.00001758177,0.00003911031,0.000001718073,0.00001564596,0.0001700094],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9931743,"threshold_uncertainty_score":0.1702925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1067113559282734,"score_gpt":0.2942638876530936,"score_spread":0.1875525317248202,"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."}}