{"id":"W2109379881","doi":"10.1109/icmb.2007.14","title":"An Intelligent Agent-Based Framework for Mobile Business","year":2007,"lang":"en","type":"article","venue":"","topic":"Mobile Agent-Based Network Management","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Mobile agent; Interoperability; Scalability; Intelligent agent; Standardization; Negotiation; Mobile computing; Task (project management); Mobile telephony; Software agent; Multi-agent system; Computer security; Distributed computing; World Wide Web; Computer network; Database; Artificial intelligence; Mobile radio; Operating system; 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":[0.001137802,0.0002452958,0.0002029801,0.0002160402,0.0001649909,0.0002477358,0.001533992,0.0001067998,0.0001802146],"category_scores_gemma":[0.00004106796,0.0002238291,0.0001118635,0.0009871965,0.00004266085,0.0003315049,0.0001794642,0.0001184416,0.0001192167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001651956,"about_ca_system_score_gemma":0.00008006187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000346544,"about_ca_topic_score_gemma":0.00004358244,"domain_scores_codex":[0.9977401,0.00004385319,0.0004183789,0.0007139175,0.0003938421,0.0006898569],"domain_scores_gemma":[0.9975699,0.0003802122,0.0001225156,0.001459651,0.0002099537,0.0002578207],"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":[0.00005903872,0.0005797984,0.0004138693,0.00008183223,0.00003666423,0.00004327282,0.0001723454,0.06688613,0.0001872672,0.4086616,0.005815297,0.5170629],"study_design_scores_gemma":[0.000943661,0.0009306452,0.002514928,0.00009624581,0.00003771324,0.000003386069,0.0001924737,0.6819617,0.02684612,0.02318972,0.2621924,0.001091057],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006358088,0.00008686295,0.9894924,0.0002882858,0.001073447,0.001331346,0.000001935158,0.0005446944,0.0008229506],"genre_scores_gemma":[0.4432993,0.000008236106,0.5526721,0.003209202,0.0002421394,0.0002887939,0.00001654682,0.00002583844,0.0002378055],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6150755,"threshold_uncertainty_score":0.9127486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02273756977799422,"score_gpt":0.3002936967999101,"score_spread":0.2775561270219158,"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."}}