{"id":"W4402279179","doi":"10.3390/admsci14090206","title":"A Perspective on Supplier Selection and Order Allocation: Literature Review","year":2024,"lang":"en","type":"article","venue":"Administrative Sciences","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Perspective (graphical); Order (exchange); Selection (genetic algorithm); Management science; Business; Computer science; Process management; Economics; 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":[0.003753286,0.001067569,0.001374501,0.01225752,0.0007637864,0.003338317,0.001261149,0.002237743,0.004218163],"category_scores_gemma":[0.01063108,0.0006179921,0.00103492,0.02425428,0.001103686,0.004319121,0.001043985,0.001698916,0.0009864429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002471231,"about_ca_system_score_gemma":0.006101172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005889868,"about_ca_topic_score_gemma":0.008184964,"domain_scores_codex":[0.9975767,0.001005641,0.0003439914,0.0002824929,0.0006705353,0.0001205785],"domain_scores_gemma":[0.9851943,0.01103701,0.001041611,0.0001933712,0.002333792,0.0002000239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001197123,0.0001463949,0.001562802,0.1219867,0.0004284865,0.0006784045,0.001225215,0.005441372,0.000974492,0.0887901,0.05895898,0.7196873],"study_design_scores_gemma":[0.00002069422,0.0001793,0.005304618,0.1703349,0.0007429265,0.001494791,0.003003348,0.00165801,0.0006070619,0.03084964,0.7857116,0.00009312083],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003367306,0.9939151,0.0008942583,0.001606808,0.0002603199,0.000009276059,0.00005316483,0.000005268923,0.002919013],"genre_scores_gemma":[0.004690961,0.9933789,0.0008158801,0.0005427461,0.0002616695,0.00001409475,0.00005161214,0.000002521642,0.0002415526],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01225752,"threshold_uncertainty_score":0.01984954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02094038909823198,"score_gpt":0.3236894814451151,"score_spread":0.3027490923468831,"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."}}