{"id":"W4414089871","doi":"10.4018/ijssmet.388708","title":"Evaluating IoT Data Security Metrics and Emerging Trends","year":2025,"lang":"en","type":"article","venue":"International Journal of Service Science Management Engineering and Technology","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Canada West","funders":"","keywords":"Dependability; Internet of Things; Credibility; Volume (thermodynamics); Data security; Big data","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":[0.01765169,0.001198977,0.0008216348,0.01756813,0.000974197,0.005308148,0.001190622,0.0009601982,0.0007337864],"category_scores_gemma":[0.06455344,0.000272172,0.0004875491,0.0173445,0.001559604,0.01022532,0.001872942,0.001276531,0.0002562108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003554331,"about_ca_system_score_gemma":0.002265285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002772736,"about_ca_topic_score_gemma":0.003210189,"domain_scores_codex":[0.9868536,0.003827119,0.001511956,0.001270584,0.006024104,0.0005126658],"domain_scores_gemma":[0.934257,0.02325522,0.009669024,0.002566857,0.02880579,0.001446042],"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":[0.000316848,0.0005569936,0.2590312,0.002154342,0.0003184715,0.0002897963,0.002524539,0.04118829,0.004807455,0.1302028,0.01160136,0.5470079],"study_design_scores_gemma":[0.00004652076,0.002251501,0.2145044,0.004641263,0.0004223666,0.001817663,0.01641201,0.4721111,0.01975826,0.1506706,0.1170104,0.0003539968],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.6799185,0.0562021,0.1844469,0.01303355,0.000993447,0.0006972906,0.003519265,0.0009510249,0.06023789],"genre_scores_gemma":[0.9259424,0.008570228,0.06154652,0.0002407678,0.0002764782,0.000232717,0.002003359,0.00008756826,0.001100038],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01765169,"threshold_uncertainty_score":0.0933522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02054241413888534,"score_gpt":0.3255102408262832,"score_spread":0.3049678266873978,"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."}}