{"id":"W4237634492","doi":"10.4018/9781605666181.ch003.ch000","title":"A Mobile, Intelligent Agent-Based Architecture for E-Business","year":2011,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Mobile Agent-Based Network Management","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Mobile agent; Architecture; Agent architecture; Task (project management); Intelligent agent; Scalability; Mobile business development; Mobile computing; Mobile technology; Mobile Web; Distributed computing; Computer network; Engineering; Artificial intelligence; Operating system; Systems 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003211256,0.0007737111,0.0003548764,0.0007301286,0.001110986,0.003114795,0.001604589,0.002258071,0.01035643],"category_scores_gemma":[0.0004402368,0.000548991,0.0005532675,0.00130832,0.0008207354,0.003823125,0.001616384,0.002438377,0.00674376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001189281,"about_ca_system_score_gemma":0.001143527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002060239,"about_ca_topic_score_gemma":0.003185026,"domain_scores_codex":[0.9997385,0.00004879338,0.0000157397,0.00004287741,0.0001251454,0.0000288906],"domain_scores_gemma":[0.9999113,0.00001920622,0.000006739459,0.00001919974,0.00002444506,0.00001910682],"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":[0.00004024005,0.00009606077,0.0002267099,0.0006680612,0.0000369947,0.000505692,0.0008044236,0.01102241,0.007913467,0.6509078,0.05405566,0.2737225],"study_design_scores_gemma":[0.00001793215,0.00003595088,0.0001755802,0.0002908548,0.00002776233,0.000657891,0.0001215922,0.02828492,0.00186672,0.08164647,0.8868457,0.00002859327],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004685087,0.02800527,0.657777,0.003283226,0.001106877,0.0003353087,0.0001952158,0.003320195,0.3012917],"genre_scores_gemma":[0.08185694,0.03334698,0.578898,0.001500913,0.0004243197,0.0006548743,0.0008908261,0.0005685216,0.3018586],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01035643,"threshold_uncertainty_score":0.03464568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02509857929349323,"score_gpt":0.2394175488535094,"score_spread":0.2143189695600162,"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."}}