{"id":"W3175323262","doi":"10.1080/17517575.2021.1939896","title":"Privacy, security and resilience in mobile healthcare applications","year":2021,"lang":"en","type":"article","venue":"Enterprise Information Systems","topic":"Information and Cyber Security","field":"Computer Science","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Saskatchewan","funders":"","keywords":"Resilience (materials science); Computer security; Computer science; Usability; Internet privacy; Security service; Privacy by Design; Information privacy; Health care; Information security; Political science","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":[0.004704867,0.0003965094,0.000327944,0.001111281,0.002166202,0.006225064,0.0007385422,0.002027162,0.001557842],"category_scores_gemma":[0.009824306,0.0004528945,0.0005943312,0.0008332537,0.006504362,0.005444333,0.005379187,0.002372034,0.0003747054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00145009,"about_ca_system_score_gemma":0.002025133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001546364,"about_ca_topic_score_gemma":0.0007892024,"domain_scores_codex":[0.9953733,0.002712074,0.0003136353,0.000388889,0.0007760691,0.0004361506],"domain_scores_gemma":[0.9940379,0.003867659,0.0005858061,0.0006486042,0.0005632013,0.0002968234],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001615703,0.00006897604,0.00519244,0.0004130042,0.00005031075,0.001467002,0.01143869,0.01847737,0.006499405,0.8863021,0.003265897,0.0666633],"study_design_scores_gemma":[0.00004316498,0.0003453767,0.005222217,0.0008736289,0.0001119825,0.003074252,0.00910416,0.09097479,0.01225319,0.7756676,0.1021681,0.0001615828],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1687293,0.006268235,0.7242063,0.03491451,0.0003879297,0.0003342837,0.0001319635,0.0008500124,0.06417745],"genre_scores_gemma":[0.948539,0.001319331,0.04563159,0.0007954722,0.000124688,0.0001223205,0.00003947117,0.00003896443,0.003389023],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006225064,"threshold_uncertainty_score":0.02488202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006684569058919849,"score_gpt":0.249260884798369,"score_spread":0.2425763157394492,"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."}}