{"id":"W3061300446","doi":"10.2139/ssrn.3251015","title":"Dynamic Pricing under a Static Calendar","year":2018,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Dynamic pricing; Revenue management; Inventory control; Revenue; Dynamic programming; Work (physics); Mathematical optimization; Computer science; Simple (philosophy); Inventory theory; Stochastic control; Economics; Microeconomics; Optimal control; Mathematics; Operations management; Finance","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":[0.004010935,0.001008804,0.002030166,0.001386725,0.001425519,0.007348383,0.002522195,0.002619857,0.01515454],"category_scores_gemma":[0.02057388,0.001463349,0.001123387,0.002239427,0.002537508,0.008734615,0.002335393,0.003324216,0.001751073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002086616,"about_ca_system_score_gemma":0.001849321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003315469,"about_ca_topic_score_gemma":0.001467433,"domain_scores_codex":[0.9971358,0.0007711849,0.0001490723,0.0006441292,0.000525659,0.0007742196],"domain_scores_gemma":[0.9911451,0.003912767,0.001259919,0.001719993,0.0007635072,0.001198751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005463019,0.0001760148,0.001561946,0.00008192877,0.00004676934,0.0004481971,0.0001217599,0.08673266,0.001238958,0.8879378,0.005380501,0.01572722],"study_design_scores_gemma":[0.0001888544,0.0001127427,0.0009568362,0.00001651902,0.00005706821,0.0003307255,0.00007473768,0.5425003,0.0003557843,0.4528713,0.002470376,0.00006486743],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3758448,0.001429189,0.5270878,0.007115132,0.001200108,0.0001416836,0.001356631,0.001499516,0.08432511],"genre_scores_gemma":[0.9678735,0.0004721532,0.00870408,0.0001649006,0.0005539563,0.00002813558,0.0001906129,0.0001004551,0.02191214],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01515454,"threshold_uncertainty_score":0.05069697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01313127972867933,"score_gpt":0.2416854522662525,"score_spread":0.2285541725375732,"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."}}