{"id":"W1999377979","doi":"10.1287/opre.50.3.517.7752","title":"The Censored Newsvendor and the Optimal Acquisition of Information","year":2002,"lang":"en","type":"article","venue":"Operations Research","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":200,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia; Mitacs","keywords":"Newsvendor model; Unobservable; Censoring (clinical trials); Bayesian probability; Economics; Parametric statistics; Econometrics; Computer science; Lost sales; Decision process; Markov chain; Markov decision process; Markov process; Mathematical optimization; Mathematics; Supply chain; Statistics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.009832664,0.0008202036,0.001919081,0.0009595475,0.0009801291,0.00339188,0.001461527,0.002710931,0.004681787],"category_scores_gemma":[0.0521185,0.001192537,0.0008208902,0.0008739321,0.003778193,0.006610989,0.001704028,0.003159797,0.000588307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002528378,"about_ca_system_score_gemma":0.001883242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00236353,"about_ca_topic_score_gemma":0.001392433,"domain_scores_codex":[0.995162,0.002708584,0.0002009109,0.0005213969,0.0005370741,0.0008700364],"domain_scores_gemma":[0.9431377,0.04588166,0.005107364,0.002801419,0.001732144,0.001339716],"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":[0.0009137556,0.0002323224,0.003286989,0.0002593538,0.0001727814,0.0006629682,0.0005664171,0.4445439,0.002302432,0.5151597,0.002730354,0.02916902],"study_design_scores_gemma":[0.0001480029,0.0001848457,0.001770511,0.00007840819,0.0000553807,0.0001750121,0.0002301302,0.5468787,0.001688643,0.4469585,0.001741548,0.00009028223],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3250474,0.002506444,0.6451411,0.006184851,0.0001661227,0.0001096235,0.0003150279,0.0004149688,0.02011448],"genre_scores_gemma":[0.9801393,0.00107195,0.01543046,0.0002126485,0.00009763103,0.00005204765,0.00007106028,0.00005789575,0.002867048],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009832664,"threshold_uncertainty_score":0.0520007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0423997385936676,"score_gpt":0.2831538766877301,"score_spread":0.2407541380940625,"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."}}