{"id":"W207420180","doi":"","title":"Using Kerberos to provide secure authentication for DB2","year":2011,"lang":"en","type":"article","venue":"Conference of the Centre for Advanced Studies on Collaborative Research","topic":"Big Data Technologies and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"IBM (Canada)","funders":"","keywords":"Kerberos; Computer security; Computer science; Authentication (law); Authentication protocol; Single sign-on; Password","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001822892,0.0001455997,0.0003208572,0.0001955265,0.0007482612,0.00007697589,0.001502172,0.00006886757,0.00001609602],"category_scores_gemma":[0.02416957,0.00008728509,0.00008308067,0.002078859,0.0005805552,0.0001844395,0.0005942907,0.0001512504,0.00001497024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001368834,"about_ca_system_score_gemma":0.0003067656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004737715,"about_ca_topic_score_gemma":0.0002063429,"domain_scores_codex":[0.9975716,0.0001682403,0.0004769976,0.0005719934,0.0007971714,0.0004139506],"domain_scores_gemma":[0.98705,0.00251793,0.0003037367,0.001048097,0.009004624,0.00007559246],"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":[0.001200251,0.0004152631,0.0004669389,0.0001126433,0.000180762,2.964509e-7,0.0180613,0.0003080679,0.06373931,0.8145729,0.03206718,0.06887509],"study_design_scores_gemma":[0.0009161065,0.000717397,0.0003795931,0.000270086,0.00002741809,2.486819e-7,0.1115542,0.002062167,0.3679032,0.3898037,0.1260989,0.0002669987],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7327746,0.001306835,0.1403995,0.07807224,0.002064058,0.03396687,0.008194146,0.0002079347,0.003013888],"genre_scores_gemma":[0.9632363,0.00006525354,0.03421521,0.00004083176,0.00002713824,0.0008571415,0.000004678135,0.00001337717,0.00154012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4247692,"threshold_uncertainty_score":0.9840503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7905099832838044,"score_gpt":0.5572253473335264,"score_spread":0.233284635950278,"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."}}