{"id":"W4210304343","doi":"10.5267/j.uscm.2021.12.013","title":"Supply chain resilience and operational performance amid COVID-19 supply chain interruptions: Evidence from South Korean manufacturers","year":2022,"lang":"en","type":"article","venue":"Uncertain Supply Chain Management","topic":"Supply Chain Resilience and Risk Management","field":"Business, Management and Accounting","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Supply chain; Business; Dynamism; Supply chain management; Resilience (materials science); Industrial organization; Supply chain risk management; Mediation; Business continuity; Marketing; Service management; Operations management; Economics; Computer science; Computer security","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","sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002923595,0.001102435,0.0008055616,0.001721078,0.00292234,0.001147321,0.002343482,0.0001625566,0.006331926],"category_scores_gemma":[0.000304005,0.001075079,0.0002948255,0.001730806,0.0006071492,0.002065857,0.003456915,0.0008364397,0.0003609828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001053065,"about_ca_system_score_gemma":0.0001655666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006033337,"about_ca_topic_score_gemma":0.0006404436,"domain_scores_codex":[0.9920797,0.0002910601,0.001284204,0.002413016,0.002332712,0.001599255],"domain_scores_gemma":[0.9969641,0.0004230543,0.0006679737,0.001528678,0.0001558117,0.0002604061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001891986,0.001031712,0.4630822,0.00234901,0.0008531589,0.001162396,0.01161056,0.2593831,0.0004168146,0.03559703,0.1774772,0.0451448],"study_design_scores_gemma":[0.006228812,0.0004905682,0.1119757,0.0008448926,0.0006694318,0.00004313831,0.06954699,0.2527272,0.000146936,0.007577941,0.5457163,0.004032127],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8844448,0.003467567,0.01684967,0.07418305,0.003280065,0.009295796,0.0006239276,0.001409525,0.006445598],"genre_scores_gemma":[0.9634162,0.001293175,0.001378758,0.02220118,0.0009245383,0.001941591,0.001240491,0.0001314686,0.007472643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3682391,"threshold_uncertainty_score":0.9998896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02412899282123095,"score_gpt":0.25927814271636,"score_spread":0.235149149895129,"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."}}