{"id":"W2088242938","doi":"10.1504/ijor.2010.036287","title":"A two-phase multi-criteria decision support system for supply chain management","year":2010,"lang":"en","type":"article","venue":"International Journal of Operational Research","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Supply chain; Safety stock; Computer science; Supply chain network; Supply chain management; Purchasing; Analytic hierarchy process; Supply chain risk management; Operations research; Service management; Flexibility (engineering); Reliability engineering; Risk analysis (engineering); Operations management; Business; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004119445,0.001568408,0.001585135,0.001393702,0.001263804,0.002653702,0.001844557,0.001722948,0.01066832],"category_scores_gemma":[0.005878788,0.0007340449,0.0009608238,0.001340763,0.0004791567,0.001566637,0.001816471,0.001392833,0.001753754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001360123,"about_ca_system_score_gemma":0.002209324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003762742,"about_ca_topic_score_gemma":0.00347702,"domain_scores_codex":[0.9977901,0.0009156475,0.0002499937,0.000274546,0.0006330407,0.000136688],"domain_scores_gemma":[0.9973379,0.001370196,0.0002661145,0.0001524012,0.00067655,0.0001969147],"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":[0.001171449,0.0006888115,0.001764624,0.0006602558,0.0002993878,0.0007104097,0.0004402167,0.6598566,0.01235902,0.01700632,0.006118216,0.2989247],"study_design_scores_gemma":[0.0001407724,0.0001655601,0.0002056909,0.00002374597,0.00002926077,0.0000420849,0.0000224266,0.991008,0.00146017,0.00453781,0.002339361,0.0000251653],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01398007,0.0001347533,0.9783814,0.000242689,0.00006330877,0.0008151684,0.0003362206,0.003319518,0.002726811],"genre_scores_gemma":[0.3390122,0.0001737862,0.6551806,0.000220547,0.00005585616,0.00216902,0.0008028814,0.0001041867,0.002280752],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01066832,"threshold_uncertainty_score":0.03568906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08191752853596732,"score_gpt":0.4224815602440014,"score_spread":0.3405640317080341,"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."}}