{"id":"W1610759384","doi":"","title":"SecSLA: A Proactive and Secure Service Level Agreement Framework for Cloud Services","year":2014,"lang":"en","type":"article","venue":"IEEE International Conference on Cloud Computing Technology and Science","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Cloud computing; Computer security; Outsourcing; Cloud computing security; Service-level agreement; Computer science; Service provider; Service (business); 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":[0.01146546,0.0009056947,0.001050206,0.001781289,0.002350964,0.00496748,0.003950942,0.002479443,0.003218104],"category_scores_gemma":[0.009667878,0.00112104,0.00192237,0.001069027,0.003009101,0.005207688,0.005666696,0.005510628,0.001853003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002756718,"about_ca_system_score_gemma":0.009303541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008307305,"about_ca_topic_score_gemma":0.009017752,"domain_scores_codex":[0.9930357,0.002072222,0.0008664777,0.0005623341,0.002743909,0.00071926],"domain_scores_gemma":[0.9957356,0.001002909,0.0006389616,0.001157505,0.0009174912,0.0005475577],"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":[0.0005223549,0.0006261211,0.003253809,0.0006768772,0.0001929025,0.001012161,0.001787461,0.06659423,0.01626313,0.7241474,0.04120753,0.143716],"study_design_scores_gemma":[0.0002107123,0.0003568388,0.0008904302,0.0003578825,0.000093475,0.0006650586,0.0003004384,0.6094393,0.01385226,0.1296609,0.2439667,0.0002060811],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005101775,0.0003476778,0.9728347,0.001092499,0.0002142036,0.00111176,0.0002611402,0.01308982,0.005946359],"genre_scores_gemma":[0.2217254,0.000838323,0.7610562,0.001169923,0.0003112348,0.001778897,0.001526283,0.001584435,0.0100093],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01146546,"threshold_uncertainty_score":0.06063586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05970420233126435,"score_gpt":0.3254241047111842,"score_spread":0.2657199023799199,"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."}}