{"id":"W3015733426","doi":"10.3390/ijfs8020023","title":"Improving Supply Chain Profit through Reverse Factoring: A New Multi-Suppliers Single-Vendor Joint Economic Lot Size Model","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Studies","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Università degli Studi di Brescia","keywords":"Factoring; Supply chain; Vendor; Business; Payment; Financial institution; Profit (economics); Industrial organization; Economics; Finance; Microeconomics; Marketing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002596353,0.0002629853,0.0004292625,0.0001467824,0.000126823,0.0002126546,0.0005372326,0.0000572998,0.0001351728],"category_scores_gemma":[0.001043961,0.0002408026,0.0002723231,0.0001057891,0.00007172077,0.001372868,0.0004427132,0.0002478286,0.0000823423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003914981,"about_ca_system_score_gemma":0.0001307342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002871988,"about_ca_topic_score_gemma":0.00006199681,"domain_scores_codex":[0.9982304,0.00000808466,0.0007443557,0.0002809101,0.0004535211,0.0002827547],"domain_scores_gemma":[0.998612,0.00004703863,0.0008504567,0.00009744526,0.0003516291,0.00004146511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00338471,0.0009984035,0.02963659,0.001223249,0.004065469,0.001252121,0.0291818,0.05909687,0.02655804,0.09211454,0.6423479,0.1101403],"study_design_scores_gemma":[0.01796368,0.0005799668,0.01125758,0.001092635,0.0006945743,0.00004014259,0.01115084,0.09880795,0.005298502,0.01475822,0.8359848,0.002371064],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7259691,0.003520829,0.1055509,0.1337284,0.02222212,0.002014278,0.00009594823,0.0003492836,0.006549133],"genre_scores_gemma":[0.9773789,0.0001730162,0.004222222,0.01029647,0.007218128,0.00001134227,0.000005178644,0.00004014795,0.0006546152],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2514097,"threshold_uncertainty_score":0.9819643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1167166452538907,"score_gpt":0.2804659336091935,"score_spread":0.1637492883553028,"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."}}