{"id":"W2142117893","doi":"10.1145/1456469.1456480","title":"Configurable security for scavenged storage systems","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced Data Storage Technologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Scalability; Throughput; Computer data storage; Idle; Protocol (science); Cryptographic protocol; Computer network; Distributed computing; Embedded system; Computer security; Operating system; Cryptography; Wireless","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":[0.003070542,0.0009117959,0.0008414836,0.001201805,0.001806973,0.0030765,0.002418088,0.001333932,0.002775503],"category_scores_gemma":[0.0079711,0.0006959885,0.0005708712,0.0004530982,0.002263231,0.007487867,0.003790055,0.001718224,0.0006009386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001681757,"about_ca_system_score_gemma":0.001020049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004072739,"about_ca_topic_score_gemma":0.0003714425,"domain_scores_codex":[0.9972284,0.0007278632,0.0003586167,0.0003946925,0.0009307107,0.0003596133],"domain_scores_gemma":[0.9886062,0.004514524,0.001143268,0.00400799,0.001345566,0.0003824802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002450457,0.0006000203,0.009247231,0.001195543,0.0002939774,0.001713053,0.002541753,0.2292212,0.327985,0.284061,0.006689503,0.1340014],"study_design_scores_gemma":[0.0001746458,0.0008261539,0.001593015,0.0002111096,0.0001912755,0.001316855,0.0005725792,0.7295628,0.1745294,0.07529308,0.01547547,0.0002535942],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4179822,0.001372482,0.566054,0.0009433189,0.0002707646,0.0008223004,0.0001721442,0.004774428,0.007608351],"genre_scores_gemma":[0.9548803,0.0002041029,0.04304871,0.0000827076,0.00003092294,0.0001764292,0.00006041625,0.0001054824,0.00141093],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0030765,"threshold_uncertainty_score":0.01623881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02915520142147487,"score_gpt":0.2491589815217677,"score_spread":0.2200037801002928,"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."}}