{"id":"W2152598042","doi":"10.3844/jcssp.2007.35.42","title":"A Secure Protocol Based on a Sedentary Agent for Mobile Agent Environments","year":2007,"lang":"en","type":"article","venue":"Journal of Computer Science","topic":"Mobile Agent-Based Network Management","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Protocol (science); Mobile agent; Computer network; Human–computer interaction; Computer security; Distributed computing","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":[0.004155088,0.000266526,0.0002940065,0.0006195288,0.0002981856,0.0003586954,0.003019748,0.00004727012,0.00001940404],"category_scores_gemma":[0.00001788926,0.0002172358,0.000246059,0.0008737149,0.0001726551,0.0008030351,0.0005075412,0.0002370475,0.00002125006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000640726,"about_ca_system_score_gemma":0.0003179723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000175937,"about_ca_topic_score_gemma":0.000001278447,"domain_scores_codex":[0.9959657,0.00007418954,0.0008161388,0.0005956923,0.001825234,0.0007230167],"domain_scores_gemma":[0.9976959,0.0002078092,0.0007273196,0.0008518958,0.000146626,0.0003705133],"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":[0.0003493282,0.001610806,0.0005784566,0.0001273434,0.00006294392,0.0006265278,0.0006448762,0.3742735,0.001518589,0.002151272,0.02065547,0.5974009],"study_design_scores_gemma":[0.002730557,0.004052036,0.003165652,0.0002047787,0.00001690008,0.0000605489,0.0000145511,0.779817,0.006497674,0.0004155335,0.2026471,0.0003777004],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004116475,0.00001077518,0.9753474,0.0002958712,0.001256412,0.0188006,0.000001244553,0.00003228623,0.0001389236],"genre_scores_gemma":[0.2247421,0.000003570992,0.7588554,0.008271542,0.0009776753,0.007009004,0.000001113858,0.0000313113,0.0001082884],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5970232,"threshold_uncertainty_score":0.8858619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01411843538669325,"score_gpt":0.2788078005175027,"score_spread":0.2646893651308094,"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."}}