{"id":"W2037386159","doi":"10.1109/tsc.2012.1","title":"THEMIS: A Mutually Verifiable Billing System for the Cloud Computing Environment","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Services Computing","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nexen (Canada)","funders":"","keywords":"Cloud computing; Computer science; Public key infrastructure; Computer security; Verifiable secret sharing; Service provider; Public-key cryptography; Overhead (engineering); Service-level agreement; Computer network; Service (business); Encryption; Operating system; Business","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":[0.002055458,0.0007692109,0.0009276673,0.001044842,0.001455176,0.002830537,0.002817954,0.0009406175,0.006832175],"category_scores_gemma":[0.00440401,0.0004653601,0.0006162717,0.00111559,0.001015382,0.003638861,0.003743944,0.002017003,0.001765446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001561902,"about_ca_system_score_gemma":0.003212509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001936367,"about_ca_topic_score_gemma":0.00119198,"domain_scores_codex":[0.9966797,0.0006382664,0.0002475492,0.000267711,0.001706128,0.0004605851],"domain_scores_gemma":[0.9977806,0.00029937,0.0004250369,0.0008323727,0.0003424043,0.0003201636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003860372,0.0009924095,0.01035409,0.0007911216,0.0003022724,0.002314488,0.001395146,0.03472295,0.07506863,0.2136262,0.1655964,0.4909758],"study_design_scores_gemma":[0.0005850082,0.0007803342,0.006242614,0.000137349,0.0001575608,0.001646241,0.0002961669,0.6145296,0.08859129,0.02768702,0.2590764,0.0002704955],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0853115,0.00114533,0.7706735,0.002267127,0.0009384932,0.002583372,0.001703753,0.09293976,0.0424372],"genre_scores_gemma":[0.7634136,0.0006532528,0.2065715,0.0006985851,0.0003872348,0.0008876657,0.003223566,0.002226564,0.02193798],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006832175,"threshold_uncertainty_score":0.02285594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02220452439406845,"score_gpt":0.2375801313520965,"score_spread":0.215375606958028,"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."}}