{"id":"W2765845706","doi":"10.5267/j.dsl.2017.7.001","title":"Optimal selling price, replenishment lot size and number of shipments for two-echelon supply chain model with deteriorating items","year":2017,"lang":"en","type":"article","venue":"Decision Science Letters","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Islamic Azad University","keywords":"Supply chain; Business; Industrial organization; Computer science; Operations management; Operations research; Economics; Marketing; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002042389,0.001123464,0.002008278,0.0008892967,0.0007729189,0.002389555,0.001805311,0.002338408,0.003908793],"category_scores_gemma":[0.002772852,0.001166308,0.001250595,0.001085206,0.001286871,0.001777198,0.0008990146,0.001711704,0.0003142491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003353833,"about_ca_system_score_gemma":0.001599998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01924236,"about_ca_topic_score_gemma":0.01217196,"domain_scores_codex":[0.9992931,0.0002301265,0.00003552672,0.0001393835,0.00009637079,0.0002054532],"domain_scores_gemma":[0.9986229,0.0007702161,0.0002804443,0.00004761144,0.0001469783,0.0001317639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005252577,0.00003097715,0.0003978088,0.00003427252,0.00001527188,0.0001022714,0.00002443931,0.9950072,0.0005619412,0.002733081,0.00008805023,0.0009522257],"study_design_scores_gemma":[0.00001427591,0.00003108291,0.0002081192,0.000004038126,0.00001129933,0.00001235975,0.00001593456,0.9981607,0.0001011719,0.001370774,0.00006058776,0.000009734154],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5401213,0.001130395,0.4470665,0.0007287263,0.00008214293,0.0002015314,0.0006356312,0.0002191661,0.009814622],"genre_scores_gemma":[0.9820768,0.0003577489,0.01298432,0.0000315967,0.00001521983,0.00008117976,0.0001356681,0.00002395958,0.004293494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01924236,"threshold_uncertainty_score":0.03826076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03166404415522571,"score_gpt":0.2951548752072547,"score_spread":0.263490831052029,"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."}}