{"id":"W3202608958","doi":"10.1080/03155986.2021.1971432","title":"Optimal pricing and trade-in remanufacturing policies considering the secondary market","year":2021,"lang":"en","type":"article","venue":"INFOR Information Systems and Operational Research","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Remanufacturing; Original equipment manufacturer; Willingness to pay; Business; Product (mathematics); Dual (grammatical number); Supply chain; Industrial organization; Value (mathematics); Microeconomics; Economics; Marketing; Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001585741,0.001015703,0.001665713,0.0008238661,0.000638463,0.002676396,0.001529848,0.002560245,0.00666055],"category_scores_gemma":[0.004820906,0.0007793716,0.0014694,0.0005899323,0.001473375,0.00287817,0.001437239,0.001389556,0.0003561928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003149621,"about_ca_system_score_gemma":0.00217363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008131459,"about_ca_topic_score_gemma":0.005186826,"domain_scores_codex":[0.9989843,0.0004178394,0.00002137187,0.0001404455,0.00008527067,0.0003508508],"domain_scores_gemma":[0.9978433,0.001214537,0.0004185883,0.00009575557,0.0001892862,0.0002385911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003403305,0.0002981219,0.001333673,0.0001378134,0.00008159049,0.0003343436,0.00009139496,0.8895436,0.002749182,0.09622443,0.001089011,0.007776367],"study_design_scores_gemma":[0.00004401238,0.0001100533,0.0004905782,0.00001290927,0.00004259091,0.00003047268,0.0001035289,0.966559,0.0004595734,0.03149464,0.0006330719,0.00001962897],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6867867,0.001115802,0.2746043,0.002368871,0.0001583367,0.0002101248,0.0002906931,0.0001586055,0.03430663],"genre_scores_gemma":[0.9907268,0.0002035636,0.004955661,0.00005027188,0.00002305116,0.00003392358,0.00002374032,0.00001268833,0.003970274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008131459,"threshold_uncertainty_score":0.02285218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03051568275724654,"score_gpt":0.2837380570373882,"score_spread":0.2532223742801417,"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."}}