{"id":"W1588792609","doi":"10.1109/ihtc.2014.7147523","title":"Context aware mobile application architecture (CAMAA) for health care systems","year":2014,"lang":"en","type":"article","venue":"","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Computer science; Context (archaeology); Interoperability; Scalability; Standardization; Abstraction; Architecture; Context model; Ubiquitous computing; Context awareness; Health care; Mobile computing; Systems architecture; Human–computer interaction; Data science; World Wide Web; Artificial intelligence; 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":[0.001012557,0.0005177931,0.0002961039,0.0006478769,0.0007923209,0.002105453,0.001235767,0.001781582,0.001928169],"category_scores_gemma":[0.001963456,0.0003295465,0.0007349215,0.0005563009,0.0007140341,0.001393553,0.001498529,0.001741901,0.0006427076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009194245,"about_ca_system_score_gemma":0.001816075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003070012,"about_ca_topic_score_gemma":0.003666021,"domain_scores_codex":[0.9990765,0.000320116,0.0000907368,0.0001378301,0.000276901,0.0000979233],"domain_scores_gemma":[0.9995259,0.0001434627,0.00004623451,0.0000817317,0.0001466878,0.00005605152],"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":[0.0001667798,0.000254568,0.003542223,0.00146194,0.000213442,0.001068812,0.001444567,0.07273135,0.04190956,0.6338233,0.01314683,0.2302366],"study_design_scores_gemma":[0.00005628242,0.0003160249,0.002683857,0.0006475387,0.0002260764,0.001367488,0.0003014706,0.6014253,0.01442008,0.1442724,0.2341812,0.0001023902],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01765961,0.00442587,0.9557309,0.001710209,0.0003231241,0.000414987,0.0001213221,0.002881086,0.0167328],"genre_scores_gemma":[0.3604778,0.002431332,0.6272744,0.0007930738,0.0001690463,0.0007677434,0.0004407703,0.0001627178,0.007483194],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003070012,"threshold_uncertainty_score":0.006670952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01178284013073453,"score_gpt":0.2754580816650493,"score_spread":0.2636752415343147,"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."}}