{"id":"W2114026118","doi":"10.1016/j.procs.2012.06.044","title":"Ubiquitous Health Monitoring Using Mobile Web Services","year":2012,"lang":"en","type":"article","venue":"Procedia Computer Science","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Vital signs; Interoperability; Telemedicine; Mobile device; Health care; Agile software development; Computer security; World Wide Web; Medicine","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.002690739,0.0001999845,0.0002985576,0.000255835,0.003180127,0.0000348193,0.0006826841,0.0001033018,0.00003585494],"category_scores_gemma":[0.00002580993,0.0001838138,0.00003559006,0.001258523,0.0001612486,0.0008090885,0.0004147514,0.0005163101,0.0003324868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000565303,"about_ca_system_score_gemma":0.003447495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002737443,"about_ca_topic_score_gemma":0.00001802455,"domain_scores_codex":[0.9959409,0.0001342834,0.0007220338,0.0005277205,0.0005689458,0.002106142],"domain_scores_gemma":[0.9970513,0.0001906824,0.0004312226,0.0005327304,0.0003366886,0.001457404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002022851,0.0003280693,0.7868897,0.003978486,0.000006535479,7.678107e-7,0.01520346,0.0002280955,0.002327625,0.003369439,0.001565255,0.1860824],"study_design_scores_gemma":[0.002811708,0.000725421,0.2813407,0.002648921,0.00003935947,0.00009493456,0.004273377,0.214828,0.001157093,0.0007951501,0.489565,0.001720304],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9633327,0.003298989,0.01809314,0.0008523312,0.008245979,0.004776602,0.00001444072,0.0005618519,0.0008239418],"genre_scores_gemma":[0.9377543,0.0003247182,0.05207602,0.003339132,0.003940211,0.002489951,0.000003573516,0.00002684042,0.00004528518],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5055489,"threshold_uncertainty_score":0.9981176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06731576461723728,"score_gpt":0.4551527806711004,"score_spread":0.3878370160538632,"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."}}