{"id":"W3185611158","doi":"10.1007/s10479-021-04202-0","title":"Multi-echelon fulfillment warehouse rent and production allocation for online direct selling","year":2021,"lang":"en","type":"article","venue":"Annals of Operations Research","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Renting; Warehouse; Computer science; Solver; Operations research; Interdependence; Profit (economics); Business; Integer programming; Production (economics); Marketing; Economics; Microeconomics","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":[0.001408215,0.00009247241,0.0001308393,0.000323791,0.0003705435,0.0002198833,0.0001070346,0.00003938062,0.00007762081],"category_scores_gemma":[0.0007578393,0.00008946422,0.00004616568,0.0005162999,0.00006010896,0.0005680282,0.0001387948,0.0001016992,0.00001624356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000214848,"about_ca_system_score_gemma":0.00004696769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002653658,"about_ca_topic_score_gemma":0.0006197086,"domain_scores_codex":[0.9987621,0.00004737453,0.0002698589,0.0003330174,0.000348139,0.0002395393],"domain_scores_gemma":[0.9980091,0.00004380058,0.00003548654,0.0002623632,0.001631714,0.00001753078],"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":[0.0005170316,0.009750468,0.005323207,0.00538389,0.0008045299,0.00002645893,0.002926126,0.1480923,0.23485,0.05799628,0.2662461,0.2680835],"study_design_scores_gemma":[0.001173848,0.0001176194,0.005373679,0.0003285867,0.00005347844,0.000001757471,0.003677216,0.3817506,0.08338753,0.0008408155,0.5228512,0.0004436473],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9237419,0.002353567,0.006060313,0.06282806,0.0006530636,0.002481499,0.00003264107,0.0001273094,0.001721589],"genre_scores_gemma":[0.9826341,0.00204505,0.006579009,0.0008195693,0.0009005331,0.0002632589,0.0005137605,0.00003311992,0.006211605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2676399,"threshold_uncertainty_score":0.3648245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.378889531004764,"score_gpt":0.4353396041343588,"score_spread":0.05645007312959482,"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."}}