{"id":"W1973577033","doi":"10.1145/2525314.2525450","title":"Consuming web services on mobile devices for improved mHealth","year":2013,"lang":"en","type":"article","venue":"","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"mHealth; Workflow; Software deployment; Computer science; Health care; World Wide Web; Information and Communications Technology; Web service; Internet privacy; Knowledge management; Business; Database","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":[0.0007264498,0.0004289723,0.0003503961,0.0005833641,0.0006943273,0.002269908,0.0008447953,0.001064661,0.002620808],"category_scores_gemma":[0.001145876,0.0003104293,0.0005641526,0.0007748954,0.0003816783,0.002549727,0.001520744,0.000790572,0.001729105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003745263,"about_ca_system_score_gemma":0.0005474096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002294396,"about_ca_topic_score_gemma":0.003267521,"domain_scores_codex":[0.9995472,0.0001068592,0.00004480652,0.00007055774,0.0001457558,0.00008488783],"domain_scores_gemma":[0.9993526,0.0001280815,0.0000636784,0.0001807491,0.000216454,0.00005829382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004428259,0.0004821516,0.009703282,0.0008066844,0.0001810799,0.003310904,0.001782054,0.006692715,0.1577507,0.06726339,0.02071171,0.7308723],"study_design_scores_gemma":[0.0001703169,0.0007081602,0.03118859,0.000681018,0.0006526971,0.005502869,0.002438036,0.2592411,0.1686776,0.1064813,0.4239402,0.0003181459],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1861213,0.004355663,0.7144374,0.003898482,0.0005955293,0.0007328748,0.0002927268,0.01092769,0.07863833],"genre_scores_gemma":[0.7249489,0.003052281,0.2423939,0.001786307,0.0002535025,0.0001619789,0.0004736334,0.0005936888,0.02633591],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002620808,"threshold_uncertainty_score":0.008767486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01493046540454045,"score_gpt":0.267933218759917,"score_spread":0.2530027533553765,"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."}}