{"id":"W2103020738","doi":"10.5267/j.uscm.2014.7.006","title":"Enhancing business intelligence for supply chain operations through effective classification of supplier management","year":2014,"lang":"en","type":"article","venue":"Uncertain Supply Chain Management","topic":"Fuzzy Logic and Control Systems","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Council","keywords":"Supply chain management; Business; Supply chain; Supplier relationship management; Process management; Operations management; Business intelligence; Business management; Supplier evaluation; Industrial organization; Computer science; Knowledge management; Business administration; Marketing; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001608873,0.0003902941,0.0004954573,0.0002928624,0.0003275787,0.0002057828,0.001413948,0.0001068633,0.00002088602],"category_scores_gemma":[0.00006655844,0.0003552297,0.0001643372,0.0009334743,0.000108103,0.0004450903,0.0004156069,0.0001135385,0.00004244846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002320637,"about_ca_system_score_gemma":0.00002862041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002129908,"about_ca_topic_score_gemma":0.0001272318,"domain_scores_codex":[0.9967234,0.0002682739,0.0008124513,0.0009856793,0.0005820577,0.0006282002],"domain_scores_gemma":[0.9978055,0.0003613656,0.0002308415,0.00119739,0.0003116609,0.00009326182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004134221,0.0001732052,0.000125418,0.0005292887,0.0001633939,0.000005321628,0.001187914,0.02065588,0.0007513323,0.9092984,0.001105076,0.06596349],"study_design_scores_gemma":[0.004065052,0.0008460971,0.0154433,0.0009362071,0.0002904253,0.00001055062,0.005292333,0.7351961,0.007079269,0.1751798,0.05379729,0.001863565],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0009252239,0.0001205706,0.9732678,0.002657956,0.0006626894,0.004023608,0.00001361889,0.0001626973,0.01816583],"genre_scores_gemma":[0.88935,0.00009166506,0.1048253,0.0004763028,0.0001679077,0.002771405,0.0000673623,0.00002932786,0.002220728],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8884248,"threshold_uncertainty_score":0.99989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01557977374744339,"score_gpt":0.2521162991509122,"score_spread":0.2365365254034688,"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."}}