{"id":"W2029826589","doi":"10.1142/s0217595913500309","title":"PRICING AND INVENTORY DECISIONS WITH UNCERTAIN SUPPLY AND STOCHASTIC DEMAND","year":2013,"lang":"en","type":"article","venue":"Asia Pacific Journal of Operational Research","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Ontario Tech University","funders":"","keywords":"Supply chain; Microeconomics; Profit (economics); Economics; Supply and demand; Set (abstract data type); Business; Computer science; Marketing","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":[0.001786481,0.0001183587,0.0001672613,0.0006146424,0.0003964544,0.0007665135,0.0001657016,0.00003723195,0.0004791791],"category_scores_gemma":[0.0005366957,0.0000831996,0.00002637902,0.0003505849,0.0002100463,0.001437464,0.0001414198,0.0003040273,0.00005425511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005052146,"about_ca_system_score_gemma":0.00009153081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001095395,"about_ca_topic_score_gemma":0.00001997287,"domain_scores_codex":[0.9982669,0.00005317316,0.0003111889,0.0001833356,0.0009067934,0.0002786444],"domain_scores_gemma":[0.998709,0.0003132638,0.0001087961,0.0001139306,0.0006929184,0.00006207201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0009956639,0.0009668009,0.2645859,0.0005448222,0.0008048288,0.0004111207,0.002928073,0.007027449,0.005447662,0.3386104,0.2800085,0.09766886],"study_design_scores_gemma":[0.01140496,0.001638119,0.3616773,0.002516538,0.000268915,0.000851164,0.07107673,0.1330699,0.0001556761,0.07729788,0.3382322,0.001810579],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9661027,0.0009732078,0.003713147,0.009081633,0.0001670803,0.0007393484,0.000001159879,0.00001357021,0.01920812],"genre_scores_gemma":[0.9978444,0.0001086791,0.0006270228,0.0002131931,0.0004366984,0.00002078397,0.000005027674,0.00001558948,0.0007286225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2613125,"threshold_uncertainty_score":0.7391507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05773539782818937,"score_gpt":0.3034865498269874,"score_spread":0.245751151998798,"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."}}