{"id":"W2084155902","doi":"10.1002/asmb.816","title":"Dynamic pricing model and algorithm for perishable products with fuzzy demand","year":2009,"lang":"en","type":"article","venue":"Applied Stochastic Models in Business and Industry","topic":"Fuzzy Systems and Optimization","field":"Mathematics","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Engineering and Physical Sciences Research Council","keywords":"Fuzzy logic; Computer science; Mathematical optimization; Dynamic pricing; Credibility; Credibility theory; Dynamic programming; Revenue management; Maximization; Revenue; Algorithm; Economics; Mathematics; Artificial intelligence; Microeconomics","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":[0.0002118424,0.0002185747,0.000336916,0.0001032273,0.0001352623,0.00006910202,0.00006577045,0.00026693,7.22472e-7],"category_scores_gemma":[0.00003001415,0.0001795969,0.000008938995,0.0002604868,0.00004816282,0.0002056961,0.00002758741,0.0002148491,7.543518e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003487546,"about_ca_system_score_gemma":0.00007229472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001342237,"about_ca_topic_score_gemma":0.000007436821,"domain_scores_codex":[0.9988971,0.000006166435,0.0002743986,0.0003997853,0.0001459059,0.0002765916],"domain_scores_gemma":[0.9994507,0.00005323052,0.0001131527,0.0001846301,0.0001374561,0.00006081356],"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":[0.00007427476,0.0001149663,0.000004830526,0.0002999017,0.00001513208,0.00000183558,0.0007774112,0.9320063,0.0001439488,0.05082998,0.00009809937,0.01563332],"study_design_scores_gemma":[0.001193018,0.00004043779,0.00008976679,0.0001924758,0.00003173519,0.00001722715,0.0001791659,0.894315,0.000007207313,0.1037103,0.000001745354,0.0002219069],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1242722,0.0001287908,0.8738128,0.0001868671,0.00002369467,0.0009069081,0.00001353437,0.00003679171,0.0006184184],"genre_scores_gemma":[0.8416517,0.00001179827,0.1579265,0.00004924475,0.00004627128,0.000121733,0.00001184061,0.00002868534,0.0001522525],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7173795,"threshold_uncertainty_score":0.7323749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02594335129428964,"score_gpt":0.2512717933402833,"score_spread":0.2253284420459936,"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."}}