{"id":"W2114020259","doi":"10.1287/opre.1100.0872","title":"TECHNICAL NOTE—Exact Analysis of a Lost Sales Model Under Stuttering Poisson Demand","year":2011,"lang":"en","type":"article","venue":"Operations Research","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Poisson distribution; Stuttering; Lost sales; Order (exchange); Econometrics; Poisson regression; On demand; Economics; Mathematical economics; Mathematics; Operations research; Statistics; Linguistics; Medicine; Philosophy; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001125945,0.00009799555,0.0002013865,0.001149031,0.0003043864,0.000200269,0.0002736832,0.00006568065,0.0009826473],"category_scores_gemma":[0.0001657295,0.00008866619,0.00009691177,0.001948191,0.0001099824,0.0005732628,0.0002895318,0.0002292461,0.0001001164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003239734,"about_ca_system_score_gemma":0.00005128172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003144649,"about_ca_topic_score_gemma":0.005400153,"domain_scores_codex":[0.9987696,0.00003795265,0.0002650665,0.0002468664,0.0004046446,0.0002758009],"domain_scores_gemma":[0.9991171,0.00008739212,0.00002583665,0.0003545781,0.0003974144,0.0000177248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004240283,0.001832476,0.326909,0.0003692801,0.0008131152,0.00004984821,0.002041134,0.1185677,0.4525889,0.06722377,0.00193103,0.02724966],"study_design_scores_gemma":[0.0002586339,0.00001358199,0.246257,0.00003697961,0.0005356092,8.720493e-7,0.0003084043,0.7510551,0.0007348892,0.0003134637,0.0002701659,0.0002152387],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9426652,0.00005243004,0.03601309,0.0003188993,0.0000280262,0.0002647987,0.000007699343,0.00003986767,0.02061],"genre_scores_gemma":[0.9975547,0.0000134646,0.001692407,0.00005999132,0.00004821655,0.00002484005,0.0000341174,0.00001532813,0.0005569478],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6324875,"threshold_uncertainty_score":0.9999306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1582106640432827,"score_gpt":0.3801958296310342,"score_spread":0.2219851655877515,"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."}}