{"id":"W2260407357","doi":"10.1007/s11265-015-1064-7","title":"On the Traffic Offloading in Wi-Fi Supported Heterogeneous Wireless Networks","year":2015,"lang":"en","type":"article","venue":"Journal of Signal Processing Systems","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"National Science Foundation","keywords":"Macrocell; Computer network; Computer science; Heterogeneous network; Small cell; Cellular network; Femtocell; Wireless network; Context (archaeology); Wireless; Telecommunications; Base station; Geography","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":[0.001040632,0.0002073474,0.0004028422,0.0002166162,0.00006351549,0.00015049,0.0002507757,0.0001246868,0.000003831944],"category_scores_gemma":[0.00003916275,0.0001484083,0.00006544969,0.0004096034,0.00002874396,0.0003500239,0.0000103073,0.0004328743,0.000004790675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003238839,"about_ca_system_score_gemma":0.00009125281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003416633,"about_ca_topic_score_gemma":0.000003753377,"domain_scores_codex":[0.9981858,0.0001166024,0.0009037966,0.0001215935,0.000372363,0.0002998215],"domain_scores_gemma":[0.9989272,0.000124943,0.0004409807,0.0001191669,0.0002503644,0.0001373087],"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":[0.00003712989,0.00002230842,0.00004600953,0.0001085322,0.00002714126,0.00007826467,0.0005400105,0.9946853,0.0007252009,0.00003076373,0.0003691054,0.003330262],"study_design_scores_gemma":[0.0004315486,0.000111392,0.000004372282,0.001300084,0.00001609792,0.0005122829,0.0007389509,0.9962317,0.0003617003,0.00003977105,0.0000855386,0.000166518],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5173982,0.00517981,0.4754209,0.00004888369,0.001131873,0.0003527599,0.000001841189,0.000123127,0.0003426032],"genre_scores_gemma":[0.9992863,0.00001690933,0.0001436439,0.00001851193,0.0004367577,0.000009471513,0.00000155152,0.00006008728,0.0000267725],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4818881,"threshold_uncertainty_score":0.6051916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01955168446168878,"score_gpt":0.2273930385941686,"score_spread":0.2078413541324798,"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."}}