{"id":"W4237583911","doi":"10.4018/9781599045887.ch001","title":"Patterns for Designing Agent-Based e-Business Systems","year":2011,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Delegation; Variety (cybernetics); Software design pattern; Business process; Process (computing); Software engineering; World Wide Web; Software; Engineering; Work in process; Artificial intelligence; Operating system","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":[0.002064546,0.001147693,0.0005477358,0.001287313,0.001498952,0.004341207,0.002025139,0.001951764,0.008168749],"category_scores_gemma":[0.003950297,0.001242928,0.001061128,0.00227411,0.002397152,0.004952841,0.003381287,0.002598893,0.003556183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001494159,"about_ca_system_score_gemma":0.001698632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001841186,"about_ca_topic_score_gemma":0.002846669,"domain_scores_codex":[0.9979587,0.0007041172,0.0003020329,0.0002817037,0.0006237348,0.0001297016],"domain_scores_gemma":[0.9989556,0.0004024881,0.0001032922,0.0002565071,0.0001889688,0.00009318128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002381473,0.00006312398,0.0005103525,0.0006558702,0.00003294611,0.0005135701,0.002761126,0.01230867,0.002652011,0.838653,0.009340273,0.1324853],"study_design_scores_gemma":[0.00004722987,0.00005757736,0.0002355159,0.0005375742,0.00003643389,0.0009777278,0.001170638,0.03690633,0.002811937,0.485622,0.4715622,0.00003476493],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004397747,0.001600918,0.9528167,0.001380206,0.0001746235,0.0006414156,0.0001611892,0.0007540495,0.03807312],"genre_scores_gemma":[0.02678506,0.001946007,0.9540659,0.0001696731,0.00002933332,0.0009834891,0.0003366934,0.0001909253,0.01549296],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008168749,"threshold_uncertainty_score":0.02732724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05623024453651655,"score_gpt":0.2512231580876428,"score_spread":0.1949929135511262,"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."}}