{"id":"W4224305133","doi":"10.1016/j.ijdrr.2022.102983","title":"Supply chain disruption during the COVID-19 pandemic: Recognizing potential disruption management strategies","year":2022,"lang":"en","type":"review","venue":"International Journal of Disaster Risk Reduction","topic":"Supply Chain Resilience and Risk Management","field":"Business, Management and Accounting","cited_by":429,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Resilience (materials science); Pandemic; Sustainability; Coronavirus disease 2019 (COVID-19); Business; Supply chain; Thematic analysis; Personal protective equipment; Supply chain management; Knowledge management; Risk analysis (engineering); Computer science; Marketing; Medicine; Sociology; Qualitative research","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001626102,0.0004927189,0.0006814832,0.001337139,0.0006391268,0.001232536,0.001338687,0.0001365171,0.0009614958],"category_scores_gemma":[0.0001140453,0.0003409233,0.0008552127,0.00055915,0.0001305584,0.002190639,0.0006295345,0.00090531,0.0000771003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001006026,"about_ca_system_score_gemma":0.0001124902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002534147,"about_ca_topic_score_gemma":0.00003382761,"domain_scores_codex":[0.9959999,0.0002229156,0.001415576,0.0005021455,0.001497127,0.0003623174],"domain_scores_gemma":[0.9961588,0.00008065925,0.003176523,0.0003398536,0.0001953491,0.00004880913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002083144,0.0001972663,0.0004062634,0.00287641,0.001136256,0.0002224754,0.0004755509,0.003988974,0.000003537577,0.0009105187,0.001510922,0.9880635],"study_design_scores_gemma":[0.0006945219,0.00002645409,0.0002317094,0.00100116,0.001469671,0.001085647,0.01178535,0.000135815,1.25755e-7,0.001673455,0.9815012,0.0003949387],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.02015922,0.9371535,0.008649859,0.001786338,0.02684543,0.002866645,0.0001175783,0.0002456691,0.002175754],"genre_scores_gemma":[0.01477472,0.9769021,0.00007576125,0.0001468189,0.007063115,0.0001287863,0.0002506325,0.00007006897,0.0005879966],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9876686,"threshold_uncertainty_score":0.9999518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0493315240456717,"score_gpt":0.3313665757076537,"score_spread":0.282035051661982,"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."}}