{"id":"W2093587840","doi":"10.5555/1351542.1351976","title":"A comparison between system dynamics and agent based modeling and opportunities for cross-fertilization","year":2007,"lang":"en","type":"article","venue":"","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Computer science; Work (physics); Point (geometry); Dynamics (music); Statement (logic); Simple (philosophy); System dynamics; Management science; Data science; Artificial intelligence; Engineering; Epistemology; Mathematics; Sociology","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":[0.0001665671,0.00009442395,0.0001470103,0.000056169,0.00005701711,0.00004053409,0.00002794436,0.00006806094,0.000001873714],"category_scores_gemma":[0.000002895904,0.00009139594,0.00001654906,0.00002526895,0.00002839609,0.00004957944,0.000003847613,0.00004076045,1.815479e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004814568,"about_ca_system_score_gemma":0.000005496906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009747799,"about_ca_topic_score_gemma":0.00006688436,"domain_scores_codex":[0.9994659,0.000002708533,0.0002364707,0.0000902122,0.00006022842,0.0001444681],"domain_scores_gemma":[0.9997591,0.0000492178,0.0000135244,0.00006388524,0.00003668607,0.00007755696],"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":[0.00008412924,0.00003561048,0.3053586,0.003759712,0.0001243259,0.00001685518,0.0005223308,0.5919222,0.0001160919,0.08090252,0.0001460714,0.01701149],"study_design_scores_gemma":[0.0002718995,0.00001920229,0.004519944,0.00002574128,0.00003329168,6.036146e-7,0.0003044042,0.9944384,0.0001324302,0.00002952411,0.0001126677,0.000111854],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2321789,0.000172005,0.7659033,0.000006473191,0.00005360908,0.0001154789,0.00003672327,0.0001762063,0.00135738],"genre_scores_gemma":[0.995104,0.00001422053,0.004605797,0.00001433957,0.00003350845,0.000004252404,0.0001297729,0.00001975749,0.00007431954],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7629251,"threshold_uncertainty_score":0.3727018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1447955803710053,"score_gpt":0.2838660816394549,"score_spread":0.1390705012684496,"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."}}