{"id":"W340165781","doi":"10.22215/timreview/887","title":"Building Cyber-Resilience into Supply Chains","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":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Supply chain; Hacker; Business; Resilience (materials science); Supply chain risk management; Industrial organization; Computer security; Commerce; Supply chain management; Computer science; Marketing; Service management","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001552352,0.0003667029,0.0004454526,0.002346705,0.0002438599,0.0001574808,0.001138,0.0001301331,0.0001999086],"category_scores_gemma":[0.000308615,0.0003285774,0.00007262148,0.009737835,0.0002154128,0.001098208,0.0009700868,0.0002613726,0.001376997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001409947,"about_ca_system_score_gemma":0.00002442549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009195625,"about_ca_topic_score_gemma":0.00001807805,"domain_scores_codex":[0.9972489,0.00001510936,0.0008463548,0.0007034068,0.0006355104,0.0005507193],"domain_scores_gemma":[0.9980084,0.00001345593,0.0005246808,0.0009223341,0.000511947,0.00001912447],"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":[0.000004655961,0.00006354393,0.004168437,0.001481515,0.00003738199,0.00003553641,0.000006131267,0.00004299021,0.00004685501,0.7324753,0.08627481,0.1753628],"study_design_scores_gemma":[0.0005359839,0.00002132146,0.0007515429,0.001380074,0.0001319133,0.000004676577,0.0003644174,0.0005023907,0.00005607207,0.06451307,0.9312783,0.0004602412],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1533206,0.07962447,0.162237,0.284661,0.006557412,0.01500344,0.00000557305,0.009672395,0.2889182],"genre_scores_gemma":[0.8351462,0.02286169,0.03966625,0.08873404,0.001358842,0.001967934,0.0002257632,0.0001888925,0.009850384],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8450035,"threshold_uncertainty_score":0.9999166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02355630454986553,"score_gpt":0.2918524152298035,"score_spread":0.268296110679938,"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."}}