{"id":"W2051842986","doi":"10.5555/1386610.1386631","title":"Secure grid monitoring, a web-based framework","year":2007,"lang":"en","type":"article","venue":"International Conference on Networks","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Grid; Authentication (law); Grid computing; Confidentiality; Task (project management); Authorization; Computer security; Overhead (engineering); Semantic grid; Distributed computing; World Wide Web; Operating system; Semantic Web; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0005406146,0.0001933783,0.0001558051,0.0001285224,0.000104833,0.0003872596,0.00154599,0.0001718222,0.00007155183],"category_scores_gemma":[0.00005463301,0.0001842141,0.00009229135,0.0002799339,0.00003457076,0.0001474026,0.0001258661,0.0004650989,0.0001029009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000848183,"about_ca_system_score_gemma":0.00009841594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001312308,"about_ca_topic_score_gemma":0.000004776899,"domain_scores_codex":[0.9982882,0.0000516364,0.000318095,0.0004194908,0.0005414677,0.0003811358],"domain_scores_gemma":[0.9987323,0.0002658771,0.0001636482,0.0004272503,0.0002676635,0.0001432238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006569275,0.0001650304,0.01285819,0.000007753869,0.00006859216,0.0001308515,0.0001955889,0.06174731,0.00004619145,0.8936189,0.007768279,0.02332761],"study_design_scores_gemma":[0.0004154938,0.0001083296,0.004553515,0.0004059798,0.000003036115,0.00001255715,0.00002027105,0.9513537,0.00009540324,0.00485829,0.03786378,0.0003096525],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005647439,0.00005541976,0.9572513,0.001028125,0.008315871,0.0001005947,0.000007351277,0.0003081398,0.02728577],"genre_scores_gemma":[0.9861152,0.00001016557,0.01119266,0.0004436436,0.00197119,0.000008296194,0.00002196594,0.00001019197,0.0002267019],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9804677,"threshold_uncertainty_score":0.7512034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03197129937278475,"score_gpt":0.3044100825861632,"score_spread":0.2724387832133784,"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."}}