{"id":"W4403878363","doi":"10.1007/978-3-031-70292-1_24","title":"Calibrating Resilience Strategies for PPE: Lessons from the COVID-19 Pandemic","year":2024,"lang":"en","type":"book-chapter","venue":"Integrated science","topic":"Supply Chain Resilience and Risk Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Resilience (materials science); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Virology; Medicine; Internal medicine; Physics; Outbreak","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003226248,0.001302027,0.0006802574,0.00121857,0.001088923,0.006220765,0.001669789,0.003023038,0.00918913],"category_scores_gemma":[0.01165851,0.0003209616,0.0005238791,0.001598884,0.003734586,0.008240952,0.004179623,0.004976742,0.001141694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004172176,"about_ca_system_score_gemma":0.004636168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01273118,"about_ca_topic_score_gemma":0.01221978,"domain_scores_codex":[0.999143,0.0003831586,0.00002971675,0.000116936,0.0001627332,0.0001645367],"domain_scores_gemma":[0.9972726,0.001559549,0.0001595927,0.0002117472,0.0005077157,0.0002888837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006633779,0.00007350091,0.002813062,0.0003338743,0.0000805842,0.0003370185,0.00123775,0.1103457,0.0005407358,0.6683878,0.05397283,0.1618109],"study_design_scores_gemma":[0.00000753002,0.00003192426,0.001186899,0.0003427729,0.00001307278,0.00005958198,0.001899013,0.03224372,0.000293121,0.9153021,0.04858085,0.00003950406],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.07472907,0.04711824,0.2291261,0.2247246,0.003688858,0.0001836336,0.001219966,0.001011053,0.4181986],"genre_scores_gemma":[0.8907099,0.02800814,0.05000015,0.005326402,0.0009931579,0.0001250918,0.0004391328,0.0004435703,0.02395438],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01273118,"threshold_uncertainty_score":0.03074068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07126440478008064,"score_gpt":0.3226825224659015,"score_spread":0.2514181176858209,"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."}}