{"id":"W4252209964","doi":"10.1109/coginf.2004.1327481","title":"Application of intelligent agent technology for knowledge management integration","year":2004,"lang":"en","type":"article","venue":"","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Java; Intelligent agent; Process (computing); Multi-agent system; Procurement; Software engineering; Knowledge management; Intelligent decision support system; Systems engineering; Engineering management; Engineering; Artificial intelligence","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":[0.001807204,0.0003818694,0.0004809838,0.001273442,0.0008562694,0.003511382,0.001089543,0.001129948,0.001765322],"category_scores_gemma":[0.003554711,0.0004233166,0.0005344037,0.00111226,0.000856664,0.004440887,0.002174577,0.00117729,0.0006265622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007234425,"about_ca_system_score_gemma":0.001015138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009434048,"about_ca_topic_score_gemma":0.0008820351,"domain_scores_codex":[0.9985538,0.0005690209,0.0001389865,0.000187607,0.0004729867,0.0000775318],"domain_scores_gemma":[0.9990546,0.0003923411,0.00009254955,0.000197388,0.0001975598,0.00006548998],"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":[0.0002161438,0.000411808,0.002297741,0.0004330024,0.0002696456,0.001319487,0.003502859,0.04480626,0.01979515,0.4244259,0.005005636,0.4975164],"study_design_scores_gemma":[0.0001268574,0.0001798765,0.0011215,0.0002827138,0.0002693294,0.0007843963,0.0007738927,0.5172037,0.02964304,0.2909881,0.1585281,0.0000983382],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02163785,0.0008564932,0.9509009,0.0007631374,0.0001176766,0.0001453413,0.00002660966,0.001464547,0.02408748],"genre_scores_gemma":[0.352457,0.0009260683,0.6384695,0.0002542805,0.00006983896,0.0002129362,0.000140723,0.0001294602,0.00734027],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003511382,"threshold_uncertainty_score":0.009557486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02476560376486798,"score_gpt":0.2863257402627317,"score_spread":0.2615601364978637,"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."}}