{"id":"W4320900800","doi":"10.2139/ssrn.4360549","title":"Pricing Strategies in a Dual-Channel Green Closed-Loop Supply Chain Considering Incentivized Recycling and Circular Economy","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Circular economy; Supply chain; Closed loop; Dual (grammatical number); Channel (broadcasting); Loop (graph theory); Economics; Business; Microeconomics; Industrial organization; Engineering; Mathematics; Telecommunications; Marketing","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002694192,0.0008381882,0.002189149,0.001115183,0.001744013,0.005345517,0.002907848,0.005072555,0.009360395],"category_scores_gemma":[0.007173988,0.001105751,0.001413337,0.001264999,0.002978953,0.004451506,0.003064926,0.001667039,0.0005984132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002750579,"about_ca_system_score_gemma":0.002085388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007860737,"about_ca_topic_score_gemma":0.005273514,"domain_scores_codex":[0.9979939,0.0006362025,0.00007341837,0.0004547649,0.0002538729,0.0005877826],"domain_scores_gemma":[0.9949215,0.003016153,0.0005068312,0.0002886196,0.0008336875,0.0004332933],"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":[0.001051418,0.0003517208,0.001855414,0.0001967247,0.0001054992,0.001410223,0.000325141,0.8781469,0.00401138,0.09556526,0.001510884,0.01546949],"study_design_scores_gemma":[0.00004595429,0.0001161246,0.0002583631,0.00001622661,0.00004561298,0.0000786403,0.0001203637,0.9728098,0.0004345091,0.02563901,0.0003997452,0.00003565732],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5112507,0.0004609512,0.4571375,0.00226739,0.0001925464,0.0002466231,0.0002578016,0.0003518517,0.02783467],"genre_scores_gemma":[0.9880396,0.00008441249,0.006323132,0.00004218421,0.00001604929,0.0000291786,0.00002174773,0.00001962845,0.005424195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009360395,"threshold_uncertainty_score":0.03131366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01119650280184566,"score_gpt":0.2191368153734012,"score_spread":0.2079403125715555,"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."}}