{"id":"W3144939308","doi":"10.5267/j.uscm.2021.1.007","title":"Supply chain emerging aspects and future directions in the age of COVID-19: A systematic review","year":2021,"lang":"en","type":"review","venue":"Uncertain Supply Chain Management","topic":"Supply Chain Resilience and Risk Management","field":"Business, Management and Accounting","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Supply chain; Resilience (materials science); Supply chain management; Flexibility (engineering); Business; Process management; Analytics; Coronavirus disease 2019 (COVID-19); Risk analysis (engineering); Computer science; Marketing; Data science; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00987226,0.0009776745,0.002789119,0.01411267,0.0009640023,0.00432226,0.001425884,0.002138339,0.004551399],"category_scores_gemma":[0.05114798,0.0009755903,0.004278873,0.02060182,0.001265946,0.005808508,0.00209628,0.001679584,0.0003800522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005358427,"about_ca_system_score_gemma":0.02784558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01389277,"about_ca_topic_score_gemma":0.04472876,"domain_scores_codex":[0.9901377,0.003488485,0.003211201,0.0007975331,0.002025202,0.0003398835],"domain_scores_gemma":[0.9410741,0.04516399,0.007219835,0.0008632778,0.005144674,0.0005341705],"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":[0.0001395054,0.00003658375,0.002553998,0.8341562,0.002096414,0.0004123267,0.001743022,0.0003370663,0.0001752599,0.003237942,0.004949199,0.1501625],"study_design_scores_gemma":[0.0000320039,0.0001177135,0.005151799,0.8876097,0.007056773,0.000890697,0.003153192,0.0001621782,0.0001761872,0.001608682,0.09398101,0.00005995839],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001222109,0.9968181,0.0002970657,0.0006160939,0.0001029695,0.000124813,0.0002965661,0.00000544719,0.0005168199],"genre_scores_gemma":[0.01193126,0.98633,0.0006338803,0.0005008996,0.00007003389,0.0001818278,0.000243621,0.000004254437,0.0001043363],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01411267,"threshold_uncertainty_score":0.05221009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02520700640751776,"score_gpt":0.2979545175837883,"score_spread":0.2727475111762706,"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."}}