{"id":"W4240904317","doi":"10.1109/wsc.2004.1371478","title":"Evaluating the Performance of Supply Chain Simulations with Tradeoffs Between Multiple Obljectives","year":2005,"lang":"en","type":"article","venue":"Proceedings of the 2004 Winter Simulation Conference, 2004.","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Supply chain; Computer science; Range (aeronautics); Industrial engineering; Risk analysis (engineering); Operations research; Engineering; Business","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":[0.01101461,0.001170763,0.00111539,0.00150029,0.0007289154,0.001459092,0.00096256,0.001548392,0.001322096],"category_scores_gemma":[0.04410284,0.0006994304,0.0009411796,0.001594679,0.001088122,0.002236165,0.001427953,0.001521426,0.0001506631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00208304,"about_ca_system_score_gemma":0.001232817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008723729,"about_ca_topic_score_gemma":0.004790086,"domain_scores_codex":[0.995874,0.002739913,0.0002582873,0.0002868905,0.000530395,0.0003104412],"domain_scores_gemma":[0.9136316,0.07877713,0.002391069,0.002485666,0.002029699,0.0006847989],"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":[0.0001935067,0.00004859563,0.001829146,0.0000267072,0.00004702968,0.0000121067,0.00003105425,0.9932058,0.000367541,0.001277486,0.00004867968,0.002912385],"study_design_scores_gemma":[0.00001705411,0.0001457348,0.0003333337,0.000009846416,0.00001641826,0.000007685177,0.00002495643,0.997442,0.0006884548,0.001224449,0.00008094434,0.000009006475],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9174269,0.000762601,0.07549614,0.0005722361,0.00005175642,0.0001148113,0.0002298852,0.0003030312,0.005042648],"genre_scores_gemma":[0.9839531,0.0001457847,0.01531647,0.00003277084,0.000009607046,0.00005803501,0.0001161119,0.00003237882,0.0003357854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01101461,"threshold_uncertainty_score":0.0582515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1418387120035861,"score_gpt":0.4030507291514511,"score_spread":0.261212017147865,"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."}}