{"id":"W4391547916","doi":"10.2139/ssrn.4579335","title":"Decentralized Online Order Fulfillment in Omni-Channel Retailers","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Consumer Retail Behavior Studies","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Markov decision process; Computer science; Interpretability; Order (exchange); Channel (broadcasting); Mathematical optimization; Process (computing); Markov chain; Range (aeronautics); Markov process; Operations research; Value (mathematics); Mathematics; Business; Artificial intelligence; Statistics; Machine learning","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00108424,0.0002613292,0.0002812627,0.0005224238,0.0001649493,0.0003627349,0.0002827995,0.00006910102,0.000252515],"category_scores_gemma":[0.00008344805,0.000224689,0.0001479288,0.0009240431,0.00004919242,0.0007007259,0.00013743,0.001536507,0.0002456749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007981685,"about_ca_system_score_gemma":0.0005412119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004362326,"about_ca_topic_score_gemma":0.01391365,"domain_scores_codex":[0.9967017,0.00002007298,0.0004353993,0.0003229473,0.0003627501,0.002157135],"domain_scores_gemma":[0.9995646,0.00002933417,0.0001072431,0.0001575207,0.0001221784,0.00001904738],"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":[0.0003230187,0.0007159482,0.2311165,0.0002781367,0.001098162,0.0005045451,0.0003949379,0.0001354438,0.0006487046,0.2114552,0.002289129,0.5510402],"study_design_scores_gemma":[0.01028557,0.0002576988,0.09453216,0.001520066,0.001818597,0.0009697594,0.02079922,0.01443435,0.00003611086,0.2521786,0.5996792,0.003488687],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9598019,0.02901683,0.0007658015,0.006944426,0.001328052,0.0003363607,0.000003455086,0.0002185422,0.001584592],"genre_scores_gemma":[0.9924298,0.005640201,0.00003426847,0.0002110388,0.0003788592,0.00001521264,0.00001764712,0.00005596132,0.001217013],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5973901,"threshold_uncertainty_score":0.9162551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01780272391496497,"score_gpt":0.2560675754535608,"score_spread":0.2382648515385958,"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."}}