{"id":"W1778019714","doi":"10.3968/j.pam.1925252820110302.1600","title":"Decentralized Model for a Two-Stage Supply Chain with Exogenous Demand","year":2011,"lang":"en","type":"article","venue":"Progress in applied mathematics","topic":"Operations Management Techniques","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Supply chain; Expediting; Outsourcing; Overtime; Downstream (manufacturing); Business; Upstream (networking); Production (economics); Supply chain management; Service management; Key (lock); Industrial organization; Operations management; Lead time; Computer science; Operations research; Microeconomics; Economics; Marketing; Engineering; Systems engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002280247,0.0002357021,0.0004186476,0.0003328355,0.0001242264,0.0002240997,0.0008634748,0.00007080183,0.00009928403],"category_scores_gemma":[0.000120586,0.0001653499,0.00005638236,0.0005147288,0.0001753594,0.0001558469,0.0001684041,0.00009954499,0.00003088875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004748875,"about_ca_system_score_gemma":0.00005241968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002461871,"about_ca_topic_score_gemma":0.00008841716,"domain_scores_codex":[0.997589,0.00002642596,0.0007478701,0.0004726424,0.0007357017,0.0004283625],"domain_scores_gemma":[0.9984086,0.0002472769,0.0003018833,0.0008254905,0.0001357983,0.00008097194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002402583,0.001385332,0.00231543,0.0001944909,0.00005021943,0.00001542092,0.01602871,0.00100525,0.0001271803,0.9391965,0.0007372729,0.03870391],"study_design_scores_gemma":[0.001717644,0.0001092893,0.00004404055,0.00005664167,0.00003870372,0.000004315625,0.001302095,0.6845506,0.006674235,0.3046839,0.00044607,0.0003724091],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0327494,0.00009700307,0.9506825,0.00008020193,0.00002373417,0.003384406,0.00002106474,0.0002267112,0.01273498],"genre_scores_gemma":[0.4642349,0.000005836669,0.5340529,0.00004350055,0.000006195802,0.001238429,0.00000354949,0.00002646022,0.0003882373],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6835454,"threshold_uncertainty_score":0.6742774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1399757882406278,"score_gpt":0.3758093089789197,"score_spread":0.2358335207382919,"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."}}