{"id":"W2926010155","doi":"10.14257/ijsia.2015.9.5.01","title":"Security Model for Sensitive Information Systems and Its Applications in Sensor Networks","year":2015,"lang":"en","type":"article","venue":"International Journal of Security and Its Applications","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Civil Aviation Administration of China; National Development and Reform Commission; China Scholarship Council; National Natural Science Foundation of China","keywords":"Computer science; Information security; Computer security","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":[0.0009813103,0.0006000732,0.0003927941,0.001093976,0.0006463502,0.001336323,0.0009636231,0.0008286886,0.001762533],"category_scores_gemma":[0.002218342,0.0002055722,0.0008835997,0.0009189695,0.001493486,0.003474436,0.0009683025,0.001361299,0.0002459532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001328787,"about_ca_system_score_gemma":0.0007638475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003192734,"about_ca_topic_score_gemma":0.001756868,"domain_scores_codex":[0.9988661,0.0002988671,0.00006882076,0.0002125902,0.0004518434,0.0001018046],"domain_scores_gemma":[0.9991568,0.0004271166,0.00009663954,0.00009980053,0.0001762405,0.00004334858],"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":[0.00001967626,0.00002367622,0.0006954866,0.00007687325,0.00001706615,0.0002000455,0.0001921156,0.149831,0.002243077,0.8357305,0.0010984,0.009872134],"study_design_scores_gemma":[0.000004218716,0.00003081322,0.0002834647,0.00001370882,0.000009778427,0.0001156873,0.00004770757,0.7762351,0.0005713694,0.2194828,0.003193766,0.00001163341],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01447237,0.0005199121,0.9716458,0.0008107196,0.00006915885,0.0000550925,0.0001092063,0.000123324,0.01219441],"genre_scores_gemma":[0.903838,0.001812568,0.08369599,0.0002851065,0.000231609,0.0002689397,0.0002671045,0.00005509885,0.009545483],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003192734,"threshold_uncertainty_score":0.009641051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01960044002227816,"score_gpt":0.2663442219267086,"score_spread":0.2467437819044304,"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."}}