{"id":"W2154236200","doi":"10.1109/itmc.2011.5996055","title":"Dynamic and adaptive price quotation in a Make-To-Order company","year":2011,"lang":"en","type":"article","venue":"","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Order (exchange); Computer science; Dynamic pricing; Service (business); Willingness to pay; Microeconomics; Customer service; Operations research; Mathematical optimization; Business; Marketing; Economics; 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":[0.003157366,0.0007316076,0.001430349,0.0005231083,0.001140987,0.002317483,0.001559934,0.002572578,0.003514973],"category_scores_gemma":[0.01255462,0.0009854429,0.0006717053,0.0007454047,0.001779705,0.003708031,0.001338434,0.001903567,0.0002820185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002309462,"about_ca_system_score_gemma":0.0009834877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009420819,"about_ca_topic_score_gemma":0.006524242,"domain_scores_codex":[0.998189,0.0007353395,0.00008327908,0.0003665573,0.0003338364,0.0002918177],"domain_scores_gemma":[0.9935327,0.004668118,0.0007693516,0.0002260199,0.0003134874,0.0004902787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003732243,0.0001520378,0.003531137,0.00006793744,0.00005273654,0.0007720341,0.0002567235,0.9460776,0.001901734,0.03195409,0.0008867615,0.01397394],"study_design_scores_gemma":[0.00002713829,0.00004130525,0.0006646002,0.000003456126,0.00001113706,0.00004485221,0.00007243272,0.9884937,0.0002936154,0.01004776,0.0002830663,0.00001697847],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5749524,0.0006911627,0.4121211,0.002158126,0.0001522781,0.0001525267,0.0001461876,0.0002637165,0.009362528],"genre_scores_gemma":[0.9882747,0.0001103236,0.008682675,0.00004745864,0.00003265003,0.00002230672,0.00002855463,0.00001791685,0.002783373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009420819,"threshold_uncertainty_score":0.01873195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03084111247008227,"score_gpt":0.219623304483053,"score_spread":0.1887821920129708,"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."}}