{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001107611,0.0005149532,0.0004113441,0.0006848703,0.001029761,0.001276121,0.00108946,0.001179363,0.002490516],"category_scores_gemma":[0.002106078,0.0003443612,0.0005461159,0.0003773526,0.001606542,0.002216216,0.002252524,0.001411874,0.0009853907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004900057,"about_ca_system_score_gemma":0.001195705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004552703,"about_ca_topic_score_gemma":0.0005159387,"domain_scores_codex":[0.9988348,0.0003010403,0.0001403233,0.0001386373,0.0004885341,0.00009670149],"domain_scores_gemma":[0.9982014,0.0004748211,0.0002947756,0.0005813597,0.0002884344,0.0001592722],"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":[0.001069995,0.0004790485,0.003191414,0.0007000004,0.0001566613,0.002305727,0.002166728,0.02172738,0.2650363,0.524509,0.006872116,0.1717856],"study_design_scores_gemma":[0.0004757788,0.003006567,0.002582264,0.0002205959,0.0004034171,0.006026967,0.0005959322,0.488408,0.209309,0.1142122,0.1744066,0.0003526831],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04356916,0.0003550035,0.9468857,0.0004446302,0.0001942284,0.000446535,0.00003998673,0.001608601,0.006456198],"genre_scores_gemma":[0.6140375,0.0005843285,0.3718854,0.000262473,0.00009957985,0.0007218199,0.0002606178,0.0002185582,0.01192974],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002490516,"threshold_uncertainty_score":0.008331597,"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."}}