{"id":"W4285064696","doi":"","title":"Modeling digital supply chain : A systematic literature review for a better understanding","year":2019,"lang":"en","type":"review","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Supply chain; Computer science; Business","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":[0.01363537,0.002311642,0.006400576,0.01950564,0.0008807422,0.004475166,0.002219351,0.002447844,0.006233158],"category_scores_gemma":[0.04756434,0.001094091,0.007472029,0.01550662,0.001020097,0.005120587,0.002005728,0.001889762,0.0005691913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004394111,"about_ca_system_score_gemma":0.02561201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01332094,"about_ca_topic_score_gemma":0.03797692,"domain_scores_codex":[0.9913626,0.003471577,0.002661776,0.0008156848,0.001457151,0.0002312054],"domain_scores_gemma":[0.9559441,0.03391864,0.005138888,0.0009270722,0.003706659,0.0003645743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001145225,0.00008673017,0.001870072,0.8832245,0.007549145,0.0002587956,0.0005583108,0.001170299,0.000292449,0.00208782,0.002593224,0.1001941],"study_design_scores_gemma":[0.0001387293,0.0002564924,0.004381125,0.8770353,0.05664451,0.0004674624,0.001384085,0.0009242414,0.0003720834,0.003320863,0.05497284,0.0001022665],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001726343,0.9943283,0.001612243,0.0005553475,0.0001115679,0.0005458147,0.0006446593,0.00001519478,0.000460533],"genre_scores_gemma":[0.02301895,0.9699734,0.004890379,0.0006190107,0.00007143081,0.0007476771,0.0004700416,0.00000914399,0.0002000534],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01950564,"threshold_uncertainty_score":0.07211155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04539166803839362,"score_gpt":0.254344284905291,"score_spread":0.2089526168668974,"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."}}