{"id":"W1968578392","doi":"10.1155/2005/346185","title":"An Improved Itinerary Recording Protocol for Securing Distributed Architectures Based on Mobile Agents","year":2005,"lang":"en","type":"article","venue":"Mobile Information Systems","topic":"Mobile Agent-Based Network Management","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Research Canada; Ericsson (Canada); Polytechnique Montréal","funders":"","keywords":"Computer science; Protocol (science); Distributed computing; Computer network; Embedded system; Medicine","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":[0.003591832,0.0007821606,0.0009988011,0.001198852,0.0009269163,0.001552116,0.002512025,0.001684948,0.002457397],"category_scores_gemma":[0.007111517,0.0005015121,0.0006713501,0.0007362833,0.001346442,0.004781604,0.002989481,0.003572146,0.0008932116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008466358,"about_ca_system_score_gemma":0.001262823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009322651,"about_ca_topic_score_gemma":0.0007373629,"domain_scores_codex":[0.9961809,0.001023941,0.0005967954,0.0003811039,0.001504012,0.0003133377],"domain_scores_gemma":[0.9939706,0.001385336,0.0006478517,0.002332103,0.001369745,0.0002942766],"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":[0.001653132,0.0005003086,0.002295089,0.0009524441,0.0002720092,0.001606794,0.002351166,0.04587949,0.2495923,0.2429446,0.008874713,0.443078],"study_design_scores_gemma":[0.0005571171,0.002189748,0.001850633,0.0002311849,0.000520644,0.002562712,0.0004224144,0.657621,0.1660252,0.03709709,0.1304832,0.0004391238],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01504211,0.0003429814,0.9793474,0.0002443599,0.000140283,0.0004448605,0.00003875749,0.001472671,0.00292655],"genre_scores_gemma":[0.3385916,0.0006604922,0.6497682,0.0003198616,0.0002683841,0.001001705,0.00042578,0.0002954292,0.008668537],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003591832,"threshold_uncertainty_score":0.01899564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01474535060757954,"score_gpt":0.2796610159603117,"score_spread":0.2649156653527322,"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."}}