{"id":"W2808010655","doi":"","title":"A make-to-stock mountain-type inventory model","year":2011,"lang":"en","type":"article","venue":"TU/e Research Portal (Eindhoven University of Technology)","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Queue; Buffer (optical fiber); Fluid queue; Markov process; Markov chain; State (computer science); Computer science; Content (measure theory); Mathematics; Mathematical optimization; Control theory (sociology); Algorithm; Statistics; Mathematical analysis; Computer network; Artificial intelligence","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":[0.0009062298,0.0001828828,0.0003236986,0.002425431,0.0003533745,0.00001932057,0.001252373,0.0002419417,0.0007182597],"category_scores_gemma":[0.0003509432,0.0002160758,0.0001224296,0.002814603,0.0005514738,0.0005462393,0.001282103,0.0005713491,0.0005700391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001118423,"about_ca_system_score_gemma":0.00009678856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008802715,"about_ca_topic_score_gemma":0.0005035412,"domain_scores_codex":[0.998166,0.00002384361,0.0002063901,0.0004778568,0.0005117868,0.0006140806],"domain_scores_gemma":[0.9983214,0.00002079832,0.0001834862,0.0007286845,0.0006967624,0.00004888931],"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":[0.001961659,0.0013009,0.05161414,0.0004507339,0.0007769818,0.001712967,0.001098128,0.003765462,0.01615476,0.8802342,0.02029902,0.020631],"study_design_scores_gemma":[0.003677855,0.0007317063,0.004385579,0.0006018742,0.0006132429,0.00002903662,0.02606489,0.09055842,0.006453775,0.7275897,0.1368355,0.00245846],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9298297,0.00005382621,0.001587993,0.0008431021,0.00004464429,0.0004010237,0.000005812176,0.0004026257,0.06683134],"genre_scores_gemma":[0.9926112,0.00001409891,0.002500569,0.00009251785,0.00004603606,0.000001483236,0.00001000518,0.00002970696,0.004694413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1526446,"threshold_uncertainty_score":0.8811317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06658646571087729,"score_gpt":0.2834718958873759,"score_spread":0.2168854301764986,"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."}}