{"id":"W1971330721","doi":"10.1109/mic.2003.1167345","title":"Developing mobile wireless applications","year":2003,"lang":"en","type":"article","venue":"IEEE Internet Computing","topic":"Mobile and Web Applications","field":"Computer Science","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Wireless; Wireless Application Protocol; Mobile Web; Mobile device; Mobile computing; Mobile technology; Mobile telephony; Embedded system; Multimedia; Telecommunications; Computer network; Wireless network; Mobile radio; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007318747,0.0006898909,0.0002517726,0.0006118722,0.0005322638,0.001645442,0.0009456835,0.0006326941,0.01289525],"category_scores_gemma":[0.003662377,0.0004243972,0.0004165513,0.0004751431,0.000224735,0.001874474,0.001412101,0.0008301614,0.01460931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002327316,"about_ca_system_score_gemma":0.0007376359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003925941,"about_ca_topic_score_gemma":0.0004923543,"domain_scores_codex":[0.9995733,0.00006719198,0.00003676498,0.00006173745,0.000210062,0.0000509307],"domain_scores_gemma":[0.9992373,0.0001949323,0.00003424529,0.0001241454,0.0003151581,0.00009428306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003823268,0.0001877334,0.001418998,0.0006795732,0.00002262491,0.0005855731,0.00109831,0.002367193,0.06587123,0.03577384,0.065539,0.8264177],"study_design_scores_gemma":[0.00002427837,0.0001615106,0.001454994,0.0002723202,0.00004464531,0.001255658,0.000416813,0.009658873,0.05462243,0.01041812,0.9216373,0.00003303045],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02637873,0.002578195,0.7921086,0.0009592875,0.0007007192,0.001889028,0.0006941019,0.014001,0.1606904],"genre_scores_gemma":[0.06452804,0.006436465,0.8077952,0.0005935958,0.000257371,0.0008782119,0.002391793,0.002868246,0.1142511],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01289525,"threshold_uncertainty_score":0.04313892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02036688385060937,"score_gpt":0.2762184043813746,"score_spread":0.2558515205307653,"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."}}