{"id":"W2042423516","doi":"10.1145/2536146.2536175","title":"Reliable services composition for mobile consumption in mHealth","year":2013,"lang":"en","type":"article","venue":"","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"mHealth; Computer science; SOAP; Mobile computing; Mobile device; Middleware (distributed applications); Mobile Web; Context (archaeology); Transactional leadership; Workload; Transaction processing; Mobile technology; Cloud computing; Mobile business development; Database transaction; Computer security; Health care; World Wide Web; Computer network; Database; Operating system","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":[0.003097751,0.0004779358,0.0005846185,0.000909656,0.001621944,0.002309047,0.001342061,0.00145003,0.002946481],"category_scores_gemma":[0.004555891,0.0005082989,0.0008695294,0.0009050653,0.001248774,0.003025527,0.003187494,0.001407293,0.001294104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001215069,"about_ca_system_score_gemma":0.002020208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005129637,"about_ca_topic_score_gemma":0.004532029,"domain_scores_codex":[0.9977953,0.0006408431,0.0001980224,0.0002928005,0.0008306309,0.000242401],"domain_scores_gemma":[0.9982904,0.0004979123,0.0001539578,0.0004876113,0.0004370031,0.000133097],"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":[0.0007165646,0.0003507181,0.0035096,0.000466451,0.0001619608,0.00281399,0.003190372,0.09518144,0.04449975,0.586486,0.008348654,0.2542745],"study_design_scores_gemma":[0.0001234216,0.0001451237,0.001078839,0.0001539633,0.0001336719,0.000882461,0.0009025818,0.6274669,0.02755005,0.2419006,0.09958862,0.0000738512],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02927169,0.0005942244,0.9544739,0.001092934,0.0001804184,0.0003121929,0.00009397468,0.00140677,0.01257388],"genre_scores_gemma":[0.4921049,0.0006085814,0.4938712,0.0003939174,0.0001249042,0.0003192853,0.0003888652,0.0004050289,0.01178344],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005129637,"threshold_uncertainty_score":0.01638269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01779014342923891,"score_gpt":0.2748490885371989,"score_spread":0.25705894510796,"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."}}