{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000367748,0.0001035111,0.0001481208,0.0001616366,0.0001219897,0.0004304065,0.0003473583,0.00006886716,0.000004975361],"category_scores_gemma":[0.00002575731,0.0001065283,0.00002806833,0.0005171627,0.00002307632,0.003387222,0.0002379648,0.0001514608,0.0001376375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008488099,"about_ca_system_score_gemma":0.0001383885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006264632,"about_ca_topic_score_gemma":0.00002861875,"domain_scores_codex":[0.9986841,0.00008423246,0.0005948876,0.000148306,0.000290471,0.0001979887],"domain_scores_gemma":[0.9989718,0.00003864836,0.0001834767,0.000483802,0.0002151708,0.0001071523],"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":[0.00002256701,0.0002221022,0.0271828,0.00161873,0.00002481724,0.00001916953,0.2243626,0.00132009,0.00004192759,0.6405376,0.003444416,0.1012032],"study_design_scores_gemma":[0.001292843,0.00006751509,0.008552101,0.0002524314,0.000003125911,0.0002940683,0.01312719,0.1519942,0.0005353811,0.001425523,0.8219068,0.0005488687],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1309426,0.002797149,0.8326688,0.001917258,0.001177075,0.002603712,0.0000635492,0.0005714963,0.02725833],"genre_scores_gemma":[0.998154,0.0001206106,0.0007125717,0.000595909,0.00002106314,0.0003263016,0.00003136309,0.00000222638,0.00003588569],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8672114,"threshold_uncertainty_score":0.4344098,"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."}}