{"id":"W4388827161","doi":"10.5539/cis.v16n4p21","title":"Electronic Health System Integration Framework for Secure M-Health Services: A Case of University of Nairobi Hospital","year":2023,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Mount Kenya University","keywords":"Confidentiality; Computer science; Design science research; Information system; Healthcare system; Data collection; University hospital; Population; Health care; Knowledge management; Computer security; Medicine; Medical emergency; Sociology; Engineering; Environmental health","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002314592,0.00007663903,0.0002277907,0.0002951639,0.001245263,0.000009100422,0.0001841479,0.00007365568,0.00000368073],"category_scores_gemma":[0.00002778922,0.00007269573,0.00002802682,0.001085901,0.0001099292,0.0009343461,0.00008669616,0.0001925994,0.00001696428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002471287,"about_ca_system_score_gemma":0.00205753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005423358,"about_ca_topic_score_gemma":0.0001001746,"domain_scores_codex":[0.9984998,0.00009266219,0.0006236844,0.0001510539,0.0001689008,0.0004638868],"domain_scores_gemma":[0.9980406,0.0002534792,0.0007752565,0.0002250483,0.0004619106,0.0002437768],"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":[0.00004513027,0.00002472011,0.0005390208,0.01001496,0.00000433564,2.818826e-7,0.04689898,0.0001035993,0.000002652321,0.8080598,0.002035306,0.1322712],"study_design_scores_gemma":[0.003136773,0.002571115,0.02972772,0.004662678,0.00001655271,0.00005471074,0.1243333,0.6643586,0.00002068268,0.00435712,0.1663657,0.0003950687],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08874713,0.0001279935,0.902335,0.00322528,0.0005899013,0.004347193,0.0001868262,0.000169746,0.000270901],"genre_scores_gemma":[0.9845139,0.0005312633,0.01335863,0.001350762,0.00005338929,0.0000978829,0.00008061267,0.000004120798,0.000009460522],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8957667,"threshold_uncertainty_score":0.9577683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01602520242050214,"score_gpt":0.3584607157855849,"score_spread":0.3424355133650827,"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."}}