{"id":"W2125260313","doi":"10.1287/msom.1080.0241","title":"Inventory, Discounts, and the Timing Effect","year":2008,"lang":"en","type":"article","venue":"Manufacturing & Service Operations Management","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Economics; Microeconomics; Inventory management; Profit (economics); Stock (firearms); Heuristic; Econometrics; Operations management; Mathematical optimization; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001743777,0.0007936278,0.0008767324,0.0006170248,0.00065023,0.002802448,0.001813618,0.002013323,0.009552079],"category_scores_gemma":[0.007135408,0.0009812602,0.0009421176,0.0008890417,0.001582123,0.005300097,0.001171667,0.002783777,0.0006626368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002901548,"about_ca_system_score_gemma":0.001540908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009116338,"about_ca_topic_score_gemma":0.006922809,"domain_scores_codex":[0.999292,0.0001810033,0.00003155204,0.0001300112,0.0001518135,0.0002136271],"domain_scores_gemma":[0.9968351,0.001967985,0.0006172388,0.0002393895,0.0001222954,0.0002180731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001832581,0.0001265673,0.00244361,0.00006419948,0.00003140982,0.0002902923,0.000114431,0.5092041,0.001240763,0.4748878,0.001188179,0.01022538],"study_design_scores_gemma":[0.0001311128,0.0001326956,0.001809989,0.00004278223,0.00008571536,0.000212399,0.00008974365,0.726388,0.000823046,0.2649482,0.005262749,0.00007362719],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4023578,0.003167951,0.4895269,0.006818752,0.0003552911,0.000236881,0.001738023,0.0004219701,0.09537653],"genre_scores_gemma":[0.9785155,0.0009830362,0.007512518,0.0001441927,0.0001000332,0.00004691298,0.0001461637,0.00003420946,0.01251744],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009552079,"threshold_uncertainty_score":0.03195494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01805530329914606,"score_gpt":0.2100603743413263,"score_spread":0.1920050710421802,"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."}}