{"id":"W2071818292","doi":"10.1016/j.apm.2012.08.006","title":"Research on coordination mechanism in three-level green supply chain under non-cooperative game","year":2012,"lang":"en","type":"article","venue":"Applied Mathematical Modelling","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":242,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lakehead University","funders":"National Natural Science Foundation of China","keywords":"Stackelberg competition; Supply chain; Shapley value; Revenue sharing; Microeconomics; Game theory; Profit (economics); Non-cooperative game; Screening game; Nash equilibrium; Supply chain management; Business; Economics; 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":[0.001299035,0.0004815664,0.0008414432,0.0005742572,0.001046655,0.00215791,0.001668772,0.001238182,0.002903861],"category_scores_gemma":[0.004582234,0.0003291634,0.0009290245,0.0007905843,0.001838812,0.003581688,0.001154093,0.0009746649,0.0001317846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001916887,"about_ca_system_score_gemma":0.002057689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006794255,"about_ca_topic_score_gemma":0.002639758,"domain_scores_codex":[0.9990553,0.0003276223,0.00003800428,0.000209962,0.0001693864,0.0001997182],"domain_scores_gemma":[0.9984151,0.0008079957,0.0002585321,0.0001033332,0.0002592939,0.0001556835],"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":[0.00009955063,0.00007937368,0.001593457,0.000139896,0.00007188088,0.0003376102,0.000490514,0.3674789,0.003922524,0.6181299,0.0009760536,0.006680219],"study_design_scores_gemma":[0.00002303221,0.00004354491,0.0004454168,0.00001155697,0.00002817354,0.00005373736,0.0001485402,0.8832924,0.0003726796,0.1150416,0.0005211226,0.00001811996],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.320121,0.000633152,0.650884,0.00134782,0.0001421321,0.0001077217,0.00007193752,0.00007570379,0.02661646],"genre_scores_gemma":[0.9852988,0.0003561832,0.01006416,0.0000437695,0.00002568158,0.00005051188,0.00002306662,0.000009066972,0.004128871],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006794255,"threshold_uncertainty_score":0.01390803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1017569348078148,"score_gpt":0.3018880479305313,"score_spread":0.2001311131227165,"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."}}