{"id":"W3105678206","doi":"","title":"Improved Capacity Scaling in Wireless Networks With Infrastructure","year":2008,"lang":"en","type":"article","venue":"","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Computer network; Telecommunications link; Base station; Throughput; Wireless network; Scaling; Wireless; Topology (electrical circuits); Telecommunications; Mathematics","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":[0.0001249326,0.0001025295,0.0001237774,0.00005815508,0.0001766053,0.00004992937,0.0006153729,0.00004635312,0.00001853543],"category_scores_gemma":[0.000007474865,0.00007743039,0.0000185298,0.0005792435,0.0000648197,0.0002893801,0.0002112971,0.0002584017,0.000002052271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004105578,"about_ca_system_score_gemma":0.00004471962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002269286,"about_ca_topic_score_gemma":0.0002608799,"domain_scores_codex":[0.9992753,0.00007149358,0.0001462319,0.0002133081,0.00009166575,0.0002019474],"domain_scores_gemma":[0.9992919,0.00005242315,0.00004046201,0.0004854795,0.00007118395,0.00005858089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008052235,0.0002950646,0.1662654,0.00002215665,0.00007228891,0.00009140346,0.01137771,0.1039853,0.006078552,0.2378125,0.003004343,0.4709148],"study_design_scores_gemma":[0.0003433492,0.00002403864,0.03326014,0.00001907694,5.768779e-7,0.00003285772,0.00001387444,0.9653453,0.0004056819,0.00005723735,0.0003515235,0.0001463362],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.310968,0.00005524079,0.6865179,0.0002373795,0.00004994817,0.00008387305,7.344711e-8,0.00009294721,0.001994629],"genre_scores_gemma":[0.9645473,0.0002153649,0.03462937,0.0004719688,0.00002812253,0.000008048702,8.93219e-7,0.000004991315,0.00009388199],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.86136,"threshold_uncertainty_score":0.315752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02350040043502969,"score_gpt":0.2261472427673468,"score_spread":0.2026468423323171,"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."}}