{"id":"W2043417119","doi":"10.1504/ijwmc.2010.035889","title":"Integrating the Havana agent platform into the existing web infrastructure","year":2010,"lang":"en","type":"article","venue":"International Journal of Wireless and Mobile Computing","topic":"Mobile Agent-Based Network Management","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Systems, Applications & Products in Data Processing (Canada); University of Guelph","funders":"","keywords":"Computer science; Incentive; World Wide Web; Mobile agent; Computer security; Software agent; Web application; 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":[0.00130215,0.0001706205,0.0001740693,0.0001175983,0.0003881573,0.0006423903,0.002115743,0.00004723013,0.00001368981],"category_scores_gemma":[0.00009608649,0.0000938253,0.0001148834,0.0001727328,0.000115346,0.0003327348,0.0009077233,0.0007798173,0.000001948883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008383071,"about_ca_system_score_gemma":0.0001122646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004541173,"about_ca_topic_score_gemma":0.00006116534,"domain_scores_codex":[0.9982821,0.00006350929,0.0005910945,0.0002141777,0.0006274621,0.0002217035],"domain_scores_gemma":[0.9980646,0.0004808482,0.00069134,0.000298857,0.0003832329,0.00008111395],"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":[0.000009457897,0.00002314178,0.001299873,0.00000802137,0.0001154833,0.0000611284,0.004471488,0.01174389,0.00207266,0.02950597,0.001008988,0.9496799],"study_design_scores_gemma":[0.000595176,0.0001171989,0.002373565,0.0002039905,0.00002248152,0.0004467642,0.001530958,0.9320596,0.0006791382,0.002873874,0.05888033,0.0002168921],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8132599,0.0002360629,0.181238,0.001252978,0.003338934,0.0001694324,6.298677e-7,0.00002727826,0.0004768549],"genre_scores_gemma":[0.9852808,0.0000744197,0.0128311,0.0006613776,0.001110343,0.00000595448,9.406368e-7,0.00001060556,0.00002442926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.949463,"threshold_uncertainty_score":0.6194584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01010672743988957,"score_gpt":0.2630023209290548,"score_spread":0.2528955934891652,"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."}}