{"id":"W4411612408","doi":"10.63282/3050-9246.ijetcsit-v3i1p104","title":"Zero Trust in Healthcare: Building a Secure Future with DevOps","year":2022,"lang":"en","type":"article","venue":"International Journal of Emerging Trends in Computer Science and Information Technology","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Optech (Canada)","funders":"","keywords":"DevOps; Zero (linguistics); Health care; Zero-knowledge proof; Computer science; Business; Computer security; Political science; Software engineering; Cryptography; Philosophy","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":[0.0007726851,0.00008630814,0.0001256588,0.004769743,0.0001440065,0.0002042845,0.0008970352,0.00003522701,0.00003686354],"category_scores_gemma":[0.00003494665,0.0000731598,0.00001660989,0.002986904,0.0001308355,0.005755201,0.0004945932,0.0003568002,0.000001306219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001358245,"about_ca_system_score_gemma":0.00007903215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007996275,"about_ca_topic_score_gemma":0.00002944922,"domain_scores_codex":[0.9986416,0.000004916461,0.0004322068,0.0001140454,0.0006321314,0.0001751735],"domain_scores_gemma":[0.9989631,0.000008795324,0.0004137476,0.00009355019,0.0005112996,0.00000952177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006733053,0.00004252946,0.03712207,0.00001401207,0.000008156623,0.00003294416,0.0002481774,0.004239792,0.00002392452,0.09773998,0.0006957781,0.8597653],"study_design_scores_gemma":[0.003488465,0.0003624801,0.07537735,0.0003820635,0.00001649323,0.001774897,0.002045754,0.3325031,0.0002669852,0.03242297,0.5506033,0.0007561517],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8186027,0.0001969587,0.09213223,0.08460395,0.003902474,0.00009322749,0.000006622106,0.00005924224,0.000402566],"genre_scores_gemma":[0.9926527,0.00003227503,0.005146666,0.001919053,0.0002337719,0.000004544054,0.000006154488,0.000002938866,0.000001957689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8590091,"threshold_uncertainty_score":0.4255992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01631845167834733,"score_gpt":0.2840949574625271,"score_spread":0.2677765057841798,"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."}}