{"id":"W4240577564","doi":"10.22215/timreview886","title":"Cyber-Resilience: A Strategic Approach for Supply Chain Management","year":2015,"lang":"en","type":"article","venue":"Technology Innovation Management Review","topic":"Supply Chain Resilience and Risk Management","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission","keywords":"Vulnerability (computing); Supply chain; Resilience (materials science); Supply chain risk management; Terrorism; Business; Business continuity; Vulnerability assessment; Natural disaster; Pandemic; Risk analysis (engineering); Supply chain management; Meaning (existential); Coronavirus disease 2019 (COVID-19); Computer security; Computer science; Psychological resilience; Service management; Marketing; Political science; Geography","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"],"consensus_categories":[],"category_scores_codex":[0.002113285,0.0005120019,0.0006023142,0.002552935,0.0002806408,0.0002212567,0.001296373,0.0001731667,0.0001220354],"category_scores_gemma":[0.00007376178,0.0004543044,0.0001324962,0.008232979,0.0002080076,0.0007795364,0.0007329665,0.0002351418,0.0004391618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001450447,"about_ca_system_score_gemma":0.00002344749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002175699,"about_ca_topic_score_gemma":0.000004240016,"domain_scores_codex":[0.9964189,0.00001865988,0.001069391,0.0009917323,0.0007085914,0.0007927128],"domain_scores_gemma":[0.9976901,0.00001467043,0.0006343849,0.001074184,0.0005608138,0.00002587845],"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":[0.00002107207,0.00020524,0.0008136273,0.005771694,0.0001271528,0.00002328137,0.000005401135,0.0001730362,0.000006345655,0.8397996,0.08910786,0.06394568],"study_design_scores_gemma":[0.002208411,0.00007021608,0.0003023714,0.001261227,0.0005449903,0.000007844435,0.002874813,0.003722701,0.00001863008,0.1139784,0.8740782,0.0009322741],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.009779714,0.02486397,0.1475386,0.03722601,0.001577185,0.02386704,0.00001652016,0.00388936,0.7512416],"genre_scores_gemma":[0.630856,0.04177618,0.159653,0.09268486,0.002495868,0.0263184,0.003332086,0.0005209154,0.04236268],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7849703,"threshold_uncertainty_score":0.9997908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04457771862642104,"score_gpt":0.2889382273414726,"score_spread":0.2443605087150516,"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."}}