{"id":"W1938539561","doi":"10.1016/j.tre.2015.04.004","title":"Fulfillment source allocation, inventory transshipment, and customer order transfer in e-tailing","year":2015,"lang":"en","type":"article","venue":"Transportation Research Part E Logistics and Transportation Review","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":85,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University; McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; University of Tehran","keywords":"Transshipment (information security); Computer science; Operations research; Order (exchange); Integer programming; Order fulfillment; Transfer (computing); Supply chain; Business; Engineering; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001305359,0.0003400264,0.0005234004,0.0002901524,0.0001077123,0.00004425856,0.0001469148,0.0001442063,0.0001116422],"category_scores_gemma":[0.00003232111,0.0003387747,0.00006512957,0.0008234803,0.0003391278,0.0002207882,0.000001079299,0.0005448309,0.00001926534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006954269,"about_ca_system_score_gemma":0.000115201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002180326,"about_ca_topic_score_gemma":0.003793567,"domain_scores_codex":[0.9971195,0.0001126769,0.001030934,0.000472093,0.0007152458,0.0005495494],"domain_scores_gemma":[0.9987578,0.0001095377,0.00003939602,0.0002328864,0.0004096826,0.0004507074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006789516,0.001819026,0.421553,0.06628572,0.0009728848,0.0009380237,0.03219229,0.1462913,0.0008905645,0.248678,0.0195596,0.06014067],"study_design_scores_gemma":[0.00853524,0.0005072799,0.1647385,0.006633573,0.000943845,0.00001112612,0.00222869,0.01749169,0.0004489159,0.003731661,0.7919457,0.002783747],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2722606,0.2755439,0.433035,0.00280689,0.001027471,0.007540631,0.0011035,0.001099838,0.00558211],"genre_scores_gemma":[0.887096,0.1106658,0.0006243737,0.0002061427,0.00004548982,0.0002253098,0.0009376885,0.00005965371,0.0001395538],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7723861,"threshold_uncertainty_score":0.9999064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1424942326311312,"score_gpt":0.3235988033461293,"score_spread":0.1811045707149981,"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."}}