{"id":"W2001442448","doi":"10.1145/570132.570134","title":"Agent behavior and agent models in unregulated markets","year":2001,"lang":"en","type":"article","venue":"ACM SIGAPP Applied Computing Review","topic":"Mobile Agent-Based Network Management","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Computer science; Multi-agent system; Agent-based model; Distributed computing; The Internet; Fidelity; Mobile agent; Simple (philosophy); Risk analysis (engineering); Artificial intelligence; Business; Telecommunications; World Wide Web","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":[0.001544717,0.0004625187,0.0005679043,0.0006262172,0.0006074712,0.002158255,0.001257175,0.00186292,0.002379823],"category_scores_gemma":[0.004868443,0.0003459991,0.0004676297,0.0004855683,0.001975749,0.002710001,0.0009806495,0.001217283,0.0004472651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001249326,"about_ca_system_score_gemma":0.0009157922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007317394,"about_ca_topic_score_gemma":0.003902793,"domain_scores_codex":[0.9993723,0.0003700138,0.00002035409,0.00007472028,0.00009795155,0.00006469505],"domain_scores_gemma":[0.9981988,0.001111617,0.0003023422,0.0001164726,0.0001570155,0.0001136893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002450227,0.00004289838,0.0010218,0.00002583404,0.00003298585,0.0001222896,0.0002991708,0.6009311,0.000338276,0.3929867,0.0008700553,0.003304424],"study_design_scores_gemma":[0.000008661481,0.000009424787,0.0001646086,0.000004894656,0.000003772527,0.00001146368,0.00003529652,0.9148424,0.00003012982,0.08391871,0.0009651438,0.000005458686],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3097992,0.002474855,0.619662,0.00690728,0.0002381304,0.00008292292,0.0002203235,0.0003386798,0.06027656],"genre_scores_gemma":[0.9695309,0.0008607052,0.01816674,0.0001899415,0.00007809619,0.00008146308,0.00006266988,0.00005340253,0.01097615],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007317394,"threshold_uncertainty_score":0.01454961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0318304556733582,"score_gpt":0.2670143527590143,"score_spread":0.2351838970856561,"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."}}