{"id":"W4408979158","doi":"10.1016/j.cie.2025.111072","title":"Linking forward and backward product quality in a manufacturing/remanufacturing inventory system with price-quality-dependent demand and return rates","year":2025,"lang":"en","type":"article","venue":"Computers & Industrial Engineering","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Remanufacturing; Quality (philosophy); Product (mathematics); Business; Industrial organization; Operations management; Manufacturing engineering; Economics; Engineering; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003339448,0.002275457,0.001771874,0.001863769,0.001066538,0.004304603,0.002730741,0.003017439,0.005224402],"category_scores_gemma":[0.00568626,0.001432428,0.002654729,0.001768683,0.001734622,0.00336591,0.002050452,0.002314461,0.0007181896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005375045,"about_ca_system_score_gemma":0.003115503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02193131,"about_ca_topic_score_gemma":0.01238853,"domain_scores_codex":[0.9983642,0.0005711046,0.00008177212,0.0003193677,0.0002353731,0.0004281829],"domain_scores_gemma":[0.9954619,0.002671773,0.001047638,0.0001675083,0.0004578368,0.0001933594],"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":[0.00006655743,0.00006952969,0.0009573659,0.00007019582,0.00003079538,0.0001401715,0.00005764797,0.9810143,0.0006177429,0.01393489,0.0001485198,0.002892288],"study_design_scores_gemma":[0.00001349828,0.00007089576,0.0003063186,0.00001529996,0.00003607101,0.00003057642,0.00003213664,0.9946989,0.0002063528,0.004301974,0.0002665981,0.00002128332],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3051146,0.001738828,0.6608796,0.00121277,0.0001532509,0.0004485019,0.0007413548,0.0005010185,0.02921015],"genre_scores_gemma":[0.9702734,0.0007678827,0.01910186,0.00006690012,0.00003437777,0.0002046392,0.0001803596,0.00005098781,0.00931963],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02193131,"threshold_uncertainty_score":0.04360729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01956609531636858,"score_gpt":0.2323569027369863,"score_spread":0.2127908074206177,"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."}}