{"id":"W2966200344","doi":"10.18280/jesa.520215","title":"VMI & TPL Supply Chain Coordination Based on Evolutionary Game","year":2019,"lang":"fr","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Collaboration in agile enterprises","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Wuzhou University; National Science Foundation","keywords":"Supply chain; Coordination game; Business; Computer science; Process management; Microeconomics; Economics; Marketing","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00123784,0.0005816771,0.000608902,0.001145759,0.0005845697,0.002024086,0.0006119634,0.0002378428,0.008495812],"category_scores_gemma":[0.001036628,0.0005961339,0.000327475,0.001665202,0.0001921748,0.00319306,0.000197742,0.0007003768,0.01339051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001002642,"about_ca_system_score_gemma":0.0003285093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001054575,"about_ca_topic_score_gemma":0.00004456426,"domain_scores_codex":[0.9957983,0.0003719751,0.001208314,0.0005548852,0.001292584,0.0007739318],"domain_scores_gemma":[0.9961025,0.0003788253,0.001380862,0.0005937808,0.001438439,0.0001056323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004234945,0.00124246,0.169776,0.003756772,0.0003344907,0.000349937,0.0004497641,0.1163846,0.0008199259,0.02353996,0.5347108,0.1482118],"study_design_scores_gemma":[0.001797102,0.0001375627,0.2894476,0.003069052,0.0001481554,0.0001874525,0.0001326974,0.2915719,0.00001202975,0.002763195,0.4100991,0.0006341389],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7079473,0.02649342,0.05164729,0.05556901,0.04459546,0.004184382,0.0002802466,0.001737378,0.1075455],"genre_scores_gemma":[0.9369967,0.0001580824,0.001996121,0.00211756,0.002974257,0.00002788778,0.000101117,0.0001535335,0.05547473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2290494,"threshold_uncertainty_score":0.999649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01311281324444298,"score_gpt":0.2376535630922068,"score_spread":0.2245407498477638,"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."}}