{"id":"W4416806664","doi":"10.1016/b978-0-443-33439-9.00009-x","title":"Privacy protection for fog computing and IoT-based technology in smart healthcare systems","year":2025,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Research & Development Corporation; University Canada West","funders":"","keywords":"Cloud computing; Confidentiality; Information privacy; Health care; Data breach; Variety (cybernetics); Internet of Things; Access control; Fog computing; Patient confidentiality","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":[0.0009755539,0.0004669958,0.000438436,0.0004733505,0.0007891287,0.003480944,0.0008534527,0.002125413,0.007112984],"category_scores_gemma":[0.001782514,0.000291858,0.0006919951,0.000873776,0.001475352,0.004168959,0.00155302,0.002444497,0.001615487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001157587,"about_ca_system_score_gemma":0.001143499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001205087,"about_ca_topic_score_gemma":0.0009303289,"domain_scores_codex":[0.9991429,0.0002156175,0.00004845566,0.0001122411,0.0003819994,0.0000987282],"domain_scores_gemma":[0.9991511,0.0004585598,0.00005821252,0.0001843678,0.0001165655,0.00003107499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005122613,0.00004606077,0.0003419398,0.0003428744,0.00003479656,0.0002760532,0.0004142358,0.004562534,0.003033129,0.7504105,0.03913715,0.2013495],"study_design_scores_gemma":[0.00001119488,0.0000594996,0.0008480088,0.0005900637,0.00004242442,0.001143827,0.0002933368,0.02401387,0.00427818,0.5610192,0.407665,0.00003534755],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01219674,0.06070253,0.4710688,0.01843435,0.003456978,0.0001734671,0.0004565078,0.0005772918,0.4329333],"genre_scores_gemma":[0.5363759,0.08069697,0.1284605,0.00739742,0.004391571,0.0002348957,0.0007407606,0.0003098573,0.2413921],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.007112984,"threshold_uncertainty_score":0.02379531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02224737207904307,"score_gpt":0.2606100644810604,"score_spread":0.2383626924020173,"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."}}