{"id":"W3199800141","doi":"10.46254/an11.20210056","title":"Systematic Literature Reviews in Supply chain resilience: A Systematic Literature Review","year":2021,"lang":"en","type":"article","venue":"","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Supply chain; Resilience (materials science); Systematic review; Scientific literature; Supply chain risk management; Risk analysis (engineering); Supply chain management; Pandemic; Business; Community resilience; Coronavirus disease 2019 (COVID-19); Computer science; Service management; Political science; Resource (disambiguation); Marketing; Medicine; MEDLINE","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.05635187,0.001953127,0.006621324,0.04623823,0.001768994,0.006004313,0.002691485,0.003294745,0.005723323],"category_scores_gemma":[0.2308862,0.001849873,0.005560525,0.0419498,0.00283014,0.00932822,0.004913517,0.002187786,0.0006807476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01025112,"about_ca_system_score_gemma":0.03953779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008681697,"about_ca_topic_score_gemma":0.02886306,"domain_scores_codex":[0.9293605,0.03289362,0.02417438,0.00318455,0.009104233,0.001282707],"domain_scores_gemma":[0.7392418,0.207392,0.02835448,0.004376532,0.01923066,0.001404469],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00008435635,0.0000146889,0.001023518,0.9549034,0.002532786,0.0001959121,0.001881401,0.0001375391,0.0001680028,0.001164077,0.002983098,0.03491124],"study_design_scores_gemma":[0.0000370017,0.00003461304,0.000951556,0.9810749,0.004718631,0.0001516649,0.001056125,0.00005124817,0.00007267299,0.0003638855,0.0114714,0.0000163622],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002121419,0.9924027,0.0008981613,0.001454285,0.0002910967,0.001346065,0.0007299771,0.00001788115,0.0007384364],"genre_scores_gemma":[0.02881243,0.9600136,0.004651743,0.001597702,0.000185016,0.003892468,0.0005881779,0.00001806387,0.0002408381],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9436481,"threshold_uncertainty_score":0.2980207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01929030730226211,"score_gpt":0.2614364535829555,"score_spread":0.2421461462806934,"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."}}