{"id":"W2167053528","doi":"10.1287/opre.1100.0798","title":"Information Acquisition for Capacity Planning via Pricing and Advance Selling: When to Stop and Act?","year":2010,"lang":"en","type":"article","venue":"Operations Research","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":179,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Revenue management; Capacity management; Revenue; Profit (economics); Business; Capacity planning; Dynamic pricing; Profit maximization; Marginal revenue; Marketing; Maximization; Capacity utilization; Operations research; Computer science; Industrial organization; Microeconomics; Operations management; Economics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009612568,0.00007533937,0.00007324556,0.0003749488,0.0007147133,0.0007914361,0.00009429379,0.00004026011,0.00008504506],"category_scores_gemma":[0.0001929694,0.00007307209,0.00001134138,0.0002185849,0.00004552695,0.002338794,0.0001272516,0.0001653324,0.00004545325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002141686,"about_ca_system_score_gemma":0.00001100283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002517679,"about_ca_topic_score_gemma":0.0001472223,"domain_scores_codex":[0.9992637,0.0000108009,0.0001471692,0.0001387294,0.0002193308,0.0002202592],"domain_scores_gemma":[0.9994515,0.00004795287,0.00001878837,0.0001346065,0.0003220049,0.00002511247],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004479538,0.0003263658,0.0313021,0.002326966,0.0001250579,0.000004601973,0.02554716,0.02672224,0.1166193,0.5017105,0.04705791,0.2478097],"study_design_scores_gemma":[0.0008331135,0.00006485716,0.008665322,0.00007746125,0.00001622187,0.00000209502,0.002744612,0.3990267,0.001056018,0.003650764,0.5835574,0.0003053765],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9282968,0.00002440603,0.06161736,0.002861789,0.0001959137,0.00112716,0.000003992889,0.00004843921,0.005824129],"genre_scores_gemma":[0.9916369,0.00000447811,0.006315051,0.001019632,0.0004077971,0.0001728592,0.00005521056,0.00000948174,0.0003786066],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5364995,"threshold_uncertainty_score":0.7631836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05707500104350986,"score_gpt":0.3257481535987947,"score_spread":0.2686731525552848,"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."}}