{"id":"W2324851981","doi":"10.1109/jsyst.2014.2363161","title":"Toward a Resilient Holistic Supply Chain Network System: Concept, Review and Future Direction","year":2014,"lang":"en","type":"article","venue":"IEEE Systems Journal","topic":"Supply Chain Resilience and Risk Management","field":"Business, Management and Accounting","cited_by":162,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Fundamental Research Funds for the Central Universities; Natural Sciences and Engineering Research Council of Canada; Program for New Century Excellent Talents in University; Australian Research Council; East China University of Science and Technology; National Natural Science Foundation of China","keywords":"Interdependence; Supply chain; Resilience (materials science); Risk analysis (engineering); Identification (biology); Set (abstract data type); Computer science; Business; Process management; Engineering; Marketing; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001948309,0.0002959024,0.0005756154,0.0002041072,0.0005474683,0.0006522657,0.0002986641,0.00009755412,0.00005181516],"category_scores_gemma":[0.00005443758,0.0002209806,0.0001252495,0.0004620135,0.00006456475,0.0005884829,0.00007247803,0.0003170488,0.0001138803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001076851,"about_ca_system_score_gemma":0.00001983501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000309867,"about_ca_topic_score_gemma":0.00001782594,"domain_scores_codex":[0.9977876,0.0001376428,0.000676463,0.0003628309,0.0005141681,0.0005212799],"domain_scores_gemma":[0.9987512,0.0000488064,0.000620992,0.0002907761,0.0002235089,0.00006466953],"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":[0.00007307782,0.00009582777,0.01003997,0.02005486,0.0002822824,0.0002168474,0.0002677533,0.0181931,0.00004346238,0.03203325,0.8921091,0.0265905],"study_design_scores_gemma":[0.0008502354,0.00005062449,0.00427245,0.004824521,0.0005148317,0.0005646163,0.001233478,0.01084665,0.000001700531,0.0002043114,0.9761109,0.0005257144],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.07865284,0.5884206,0.05848569,0.03362767,0.1326645,0.0115575,0.00003753297,0.001844891,0.09470873],"genre_scores_gemma":[0.9638146,0.004920389,0.00004113836,0.001760858,0.02860851,0.00005789248,0.0000091924,0.00003987885,0.0007475194],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8851618,"threshold_uncertainty_score":0.9011328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01697745216481208,"score_gpt":0.2361987342501822,"score_spread":0.2192212820853701,"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."}}