{"id":"W4380791703","doi":"10.32920/23523636","title":"Supplier Selection and Order Allocation: A Literature Review","year":2023,"lang":"en","type":"review","venue":"","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Selection (genetic algorithm); Order (exchange); Procurement; Domain (mathematical analysis); Operations research; Computer science; Business; Management science; Industrial organization; Economics; Marketing; Engineering; Finance; Mathematics; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002608461,0.0009642154,0.001506005,0.007476769,0.0006341989,0.002465518,0.001745322,0.001598743,0.007322934],"category_scores_gemma":[0.008088154,0.0006985049,0.001193686,0.0153454,0.0006800541,0.002827508,0.0008927943,0.001201812,0.00181808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001666733,"about_ca_system_score_gemma":0.006372894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006415981,"about_ca_topic_score_gemma":0.009904744,"domain_scores_codex":[0.9985152,0.0003647498,0.0002820143,0.0002150516,0.0005409063,0.00008212385],"domain_scores_gemma":[0.9917514,0.00530948,0.0008551464,0.0001359602,0.001804386,0.0001436844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00007648874,0.0001374139,0.001154469,0.09260421,0.0002549525,0.0003345886,0.0003180667,0.001258551,0.0003738453,0.007748956,0.03959415,0.8561443],"study_design_scores_gemma":[0.0000261698,0.0001928901,0.00651521,0.1139067,0.001202444,0.002016188,0.001037104,0.00086071,0.0006167951,0.006846498,0.8666948,0.00008451084],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002788707,0.9970687,0.00032767,0.0005700508,0.000123994,0.00001249245,0.00005562806,0.000006661277,0.001555977],"genre_scores_gemma":[0.001899553,0.9971137,0.0003764614,0.0001901424,0.0001371148,0.00001052706,0.00006236219,0.000002451705,0.0002076701],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.007476769,"threshold_uncertainty_score":0.02449769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04688005494085542,"score_gpt":0.2986408125757128,"score_spread":0.2517607576348574,"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."}}