{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002736264,0.0006325946,0.0009229928,0.0004869038,0.000685973,0.002799884,0.00150474,0.001709878,0.003973887],"category_scores_gemma":[0.01162065,0.0005736573,0.0005099188,0.0006429196,0.002188269,0.006111055,0.0009805061,0.00258071,0.0002992387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001209495,"about_ca_system_score_gemma":0.001902366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002439533,"about_ca_topic_score_gemma":0.002454067,"domain_scores_codex":[0.998403,0.0005977913,0.00005630694,0.0002154973,0.0003923676,0.0003350259],"domain_scores_gemma":[0.9903979,0.006496965,0.001447498,0.0005939191,0.0005742813,0.0004894147],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0008916354,0.0006720031,0.009395994,0.0003431094,0.000166225,0.0009487636,0.0006749109,0.519363,0.007805809,0.3153448,0.003892981,0.1405007],"study_design_scores_gemma":[0.0001049886,0.0003386387,0.003356416,0.00008726459,0.00007446049,0.0003080986,0.0006356134,0.858999,0.004801213,0.1278586,0.00335214,0.00008357578],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4660771,0.001516397,0.4790029,0.008131601,0.0002049518,0.0002131925,0.0001290512,0.0003272722,0.04439764],"genre_scores_gemma":[0.9839272,0.0002305666,0.01458754,0.0001069836,0.00005620615,0.00002197132,0.00002317637,0.00001936833,0.001027023],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003973887,"threshold_uncertainty_score":0.01447093,"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."}}