{"id":"W2140159737","doi":"10.1109/aiccsa.2003.1227471","title":"Building wireless Internet services: state of the art","year":2004,"lang":"en","type":"article","venue":"","topic":"Mobile Agent-Based Network Management","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Computer science; Mobile device; The Internet; Wireless; Wireless network; Computer network; Mobile computing; Mobile Web; Multimedia; Bandwidth (computing); Telecommunications; Mobile technology; World Wide Web","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":[0.0001850567,0.00008731609,0.00009016004,0.00003796829,0.00002811061,0.00006648381,0.001414429,0.00001223967,0.00002048911],"category_scores_gemma":[0.000001286759,0.0000576412,0.00005312018,0.0003302101,0.00002504095,0.0001856073,0.0007818147,0.00006083291,0.00005695826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006318468,"about_ca_system_score_gemma":0.00002643983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001751276,"about_ca_topic_score_gemma":0.0001903867,"domain_scores_codex":[0.9991209,0.00002972313,0.0001866753,0.000229092,0.0002468113,0.0001868215],"domain_scores_gemma":[0.9991555,0.00002264505,0.00009283993,0.0006627464,0.00002968473,0.00003663891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008513745,0.0001657422,0.0008862883,0.0001897306,0.00009495154,0.00002282543,0.001571572,0.1600535,0.001766468,0.6977859,0.00427154,0.133183],"study_design_scores_gemma":[0.002220479,0.0002624675,0.006660486,0.0007951248,0.0000343374,0.00001401717,0.0001122661,0.6350493,0.2074719,0.0667017,0.07985785,0.000819992],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2152593,0.00001702746,0.7801799,0.0005683616,0.0002720497,0.0001849962,3.659736e-7,0.00008122745,0.003436764],"genre_scores_gemma":[0.9747471,0.000006172838,0.02268002,0.00133278,0.00001601213,0.00001084312,3.164942e-7,0.000005806261,0.001200909],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7594878,"threshold_uncertainty_score":0.2628385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007158093396139339,"score_gpt":0.2085276947990365,"score_spread":0.2013696014028971,"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."}}