{"id":"W3123211156","doi":"10.2139/ssrn.2232171","title":"Up then Down: The Bid-Price Trends in Revenue Management","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Revenue management; Yield management; Revenue; Economics; Bid price; Business; 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":[0.001354051,0.0001382861,0.0002394744,0.00116054,0.0003921767,0.003464143,0.0005110518,0.0009625973,0.00377261],"category_scores_gemma":[0.01398399,0.0002459665,0.0002691048,0.002113569,0.0005377913,0.003232332,0.0005341045,0.001838712,0.001203348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000987408,"about_ca_system_score_gemma":0.0005120029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01182161,"about_ca_topic_score_gemma":0.01351537,"domain_scores_codex":[0.9995686,0.00007835743,0.00003167696,0.00007909726,0.0001810461,0.00006119021],"domain_scores_gemma":[0.9948601,0.002242408,0.0008441249,0.0002759147,0.001518627,0.0002588977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00181905,0.0004824424,0.5883453,0.0002722155,0.0002016825,0.0007646859,0.004543186,0.01048682,0.006911014,0.0938159,0.0510657,0.2412919],"study_design_scores_gemma":[0.00002339273,0.0001731273,0.9252712,0.000103808,0.00007585737,0.0004024395,0.002555604,0.02523292,0.001924142,0.01180883,0.03235505,0.00007384765],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9531109,0.002662389,0.001593124,0.005046706,0.0001840662,0.00001572672,0.00197325,0.00008191971,0.03533202],"genre_scores_gemma":[0.9953564,0.000618862,0.0003552709,0.0002975098,0.0001038903,0.00000285222,0.0004561636,0.00003348211,0.002775457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01182161,"threshold_uncertainty_score":0.02350563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01042088091526225,"score_gpt":0.2135457054475503,"score_spread":0.2031248245322881,"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."}}