{"id":"W2165270023","doi":"10.1142/s0219622003000537","title":"AGENT-BASED SYSTEM ARCHITECTURE FOR DYNAMIC AND OPEN ENVIRONMENTS","year":2003,"lang":"en","type":"article","venue":"International Journal of Information Technology & Decision Making","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Western University; Acadia University","funders":"","keywords":"Computer science; Intranet; Architecture; Distributed computing; Interface (matter); Implementation; The Internet; Resource (disambiguation); World Wide Web; Computer network; Operating system; Software 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":[0.0007432637,0.0001017865,0.0001695682,0.0008725579,0.0001014533,0.0003265816,0.00124175,0.0001104685,0.000005724884],"category_scores_gemma":[0.0003125781,0.00008531139,0.0000615774,0.000156473,0.00002365872,0.001388315,0.0001732712,0.0001304142,0.00001052886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001831142,"about_ca_system_score_gemma":0.00005928047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.521837e-7,"about_ca_topic_score_gemma":0.000001310202,"domain_scores_codex":[0.9986072,0.0000332126,0.000717191,0.0001081473,0.000419407,0.0001148221],"domain_scores_gemma":[0.9984576,0.0001508414,0.0009465111,0.0001864103,0.0002236924,0.00003498038],"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":[0.0001198282,0.00005546438,0.001533195,0.00003269184,0.0001218127,0.00001695961,0.0003823141,0.01015816,0.0008845686,0.131,0.0004236412,0.8552714],"study_design_scores_gemma":[0.0126068,0.0007330386,0.007954009,0.002624019,0.00005898672,0.003086378,0.001543023,0.6678826,0.009318537,0.06168858,0.2316675,0.0008364781],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01969781,0.00007441982,0.9782476,0.0005860278,0.0009387726,0.0002623842,0.00000547107,0.00002683939,0.0001606297],"genre_scores_gemma":[0.7538536,0.000007531506,0.2459192,0.0001855312,0.00001127646,0.00001037375,0.000002000538,0.000003462095,0.000006999443],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8544349,"threshold_uncertainty_score":0.3478898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0104351669082363,"score_gpt":0.2890530311428359,"score_spread":0.2786178642345996,"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."}}