{"id":"W1973428940","doi":"10.1109/chinacom.2006.344771","title":"An Integrated WWAN-WLAN Link Model in Mobile Hotspots","year":2006,"lang":"en","type":"article","venue":"","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; University of Waterloo","funders":"","keywords":"Computer science; Computer network; Packet loss; Network packet; Wireless WAN; Wi-Fi; Wireless network; Markov chain; Hotspot (geology); Wireless; Real-time computing; Distributed computing; Wi-Fi array; Telecommunications","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":[0.0009479523,0.0006478201,0.0007554258,0.0005773189,0.0004449689,0.001068618,0.001853213,0.001203829,0.001631025],"category_scores_gemma":[0.001865027,0.0004638835,0.0005667677,0.0006615852,0.0007402114,0.002463837,0.0009805799,0.001061284,0.0003470936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000779323,"about_ca_system_score_gemma":0.0006918547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005388985,"about_ca_topic_score_gemma":0.00416177,"domain_scores_codex":[0.9994598,0.0001446508,0.00001743109,0.000128428,0.0001179508,0.0001318017],"domain_scores_gemma":[0.9989741,0.000530615,0.0001670733,0.00008114895,0.0001875072,0.00005954006],"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":[0.00008974699,0.00005890794,0.001984978,0.00003595878,0.00003700514,0.0002971322,0.0001078804,0.9693089,0.002211978,0.02128037,0.0002973023,0.004289856],"study_design_scores_gemma":[0.000008799832,0.00002591068,0.0002843145,0.000002553116,0.00001152652,0.00003379542,0.00001586433,0.9964527,0.0001941034,0.002821062,0.0001425779,0.000006756904],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2086515,0.0003766247,0.7843184,0.0003176768,0.00006848759,0.00009469096,0.0002259157,0.0003384304,0.005608388],"genre_scores_gemma":[0.9755954,0.0003166329,0.01839795,0.00007009145,0.00005227196,0.0001264041,0.0001234124,0.00003276516,0.005285155],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005388985,"threshold_uncertainty_score":0.01071519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0125248055468494,"score_gpt":0.2642379372133412,"score_spread":0.2517131316664918,"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."}}