{"id":"W6967713057","doi":"10.5281/zenodo.10902498","title":"OPTIMIZATION TECHNIQUES FOR SUPPLY CHAIN DECISION MAKING","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Supply Chain Resilience and Risk Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bell (Canada)","funders":"","keywords":"Supply chain; Exploit; Supply chain optimization; Supply chain management; Decision support system; Service management; Merge (version control); Supply chain risk management; Process (computing)","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":[0.005953086,0.002149702,0.001484739,0.001957108,0.000943461,0.002786053,0.001313816,0.001732497,0.003994586],"category_scores_gemma":[0.007585776,0.0008767266,0.001941788,0.00338287,0.003240142,0.002765762,0.002895626,0.004224063,0.001019678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002401472,"about_ca_system_score_gemma":0.002645226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002805583,"about_ca_topic_score_gemma":0.001970333,"domain_scores_codex":[0.9950499,0.00310757,0.0002631541,0.0003941297,0.001051219,0.0001340722],"domain_scores_gemma":[0.9956419,0.003353736,0.0003161027,0.0002259162,0.0003991674,0.00006320613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002083366,0.00003340732,0.0001919079,0.0004618151,0.0001385901,0.00007340647,0.0001803908,0.4048135,0.0004611057,0.5211996,0.004005756,0.06841973],"study_design_scores_gemma":[0.00001872888,0.00003332841,0.0001050928,0.0002258076,0.00003627867,0.00004504811,0.00006453965,0.4032775,0.0004211724,0.574423,0.02131874,0.00003079823],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0005062048,0.002275685,0.9915853,0.000785122,0.0001080775,0.0000461151,0.00002655023,0.00005900512,0.004607945],"genre_scores_gemma":[0.1220178,0.01357989,0.8537679,0.0006682853,0.0007633578,0.0007437514,0.0001766915,0.0002137523,0.008068597],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005953086,"threshold_uncertainty_score":0.03148329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02222754809444256,"score_gpt":0.2587810643693873,"score_spread":0.2365535162749448,"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."}}