{"id":"W2001558460","doi":"10.3926/jiem.326","title":"Integrated methodological frameworks for modelling agent-based advanced supply chain planning systems: A systematic literature review","year":2011,"lang":"en","type":"article","venue":"Journal of Industrial Engineering and Management","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Université TÉLUQ; Polytechnique Montréal; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Université du Québec à Montréal; Université Laval","keywords":"Management science; Systematic review; Supply chain; Process (computing); Computer science; Identification (biology); Scale (ratio); Process management; Data science; Risk analysis (engineering); Engineering; Business","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001016976,0.0001668927,0.0004586422,0.0002477097,0.00002887896,0.00003808858,0.0001050337,0.0001807148,0.000003320169],"category_scores_gemma":[0.0001203432,0.0001327215,0.00009855763,0.000311652,0.000007146122,0.00010466,0.000004760662,0.0004859092,1.98928e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004989867,"about_ca_system_score_gemma":0.000009984966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.890224e-7,"about_ca_topic_score_gemma":8.015736e-8,"domain_scores_codex":[0.9988267,0.00003784772,0.0007442718,0.00009721775,0.000134298,0.0001596597],"domain_scores_gemma":[0.999401,0.0001325164,0.0001524841,0.0001091558,0.0001292754,0.00007560758],"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":[0.00003782226,0.00001977364,0.000005776762,0.0323352,0.0002189645,0.00002966256,0.0002070077,0.9635744,0.00004206295,0.002377136,0.0003248457,0.0008273418],"study_design_scores_gemma":[0.001902872,0.0002189197,0.00002643484,0.2110324,0.0005868688,0.00003613201,0.0005286805,0.7809319,0.0001276378,0.0000405139,0.004209635,0.0003580248],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003234343,0.02106271,0.9736608,0.00004924025,0.0008623952,0.0009827644,0.0000137358,0.00009570328,0.00003833084],"genre_scores_gemma":[0.6787029,0.01723836,0.3025399,0.0002955775,0.0003872817,0.000586145,0.00007371427,0.0001019497,0.00007413136],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6754686,"threshold_uncertainty_score":0.5412228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1123329539742864,"score_gpt":0.2858005340624672,"score_spread":0.1734675800881808,"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."}}