{"id":"W4410887565","doi":"10.1109/syscon64521.2025.11014830","title":"Supply Chain Risk Analysis Via SBOM Data Enrichment","year":2025,"lang":"en","type":"article","venue":"","topic":"Supply Chain Resilience and Risk Management","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hitachi (Canada)","funders":"","keywords":"Supply chain; Computer science; Risk analysis (engineering); Business; Marketing","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":[0.008525016,0.0007831902,0.0005599922,0.01061759,0.0007896482,0.002731911,0.0008704893,0.0007378616,0.001479151],"category_scores_gemma":[0.04362299,0.0004210797,0.001099299,0.008587974,0.000923302,0.003951701,0.003116488,0.001634772,0.0005287653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001304568,"about_ca_system_score_gemma":0.001937557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005626646,"about_ca_topic_score_gemma":0.006607479,"domain_scores_codex":[0.9919155,0.002180158,0.001003403,0.0009997908,0.00350707,0.0003940594],"domain_scores_gemma":[0.9464186,0.02412781,0.008497207,0.01035536,0.010107,0.0004939804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006163687,0.0004691045,0.5461243,0.001073187,0.0004707737,0.00152164,0.004782831,0.07006387,0.0146575,0.0462457,0.009580822,0.3043939],"study_design_scores_gemma":[0.00005038108,0.0004128328,0.1599297,0.0006980682,0.000329697,0.001162385,0.005134004,0.6559225,0.04053774,0.07326012,0.06234033,0.00022219],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5699075,0.00045003,0.3996329,0.001698861,0.00006218132,0.0007874111,0.01223484,0.00556351,0.009662746],"genre_scores_gemma":[0.7155635,0.0001718123,0.2734679,0.0001270716,0.00002572056,0.0003823846,0.008566402,0.0003431198,0.001352064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01061759,"threshold_uncertainty_score":0.04508513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0127014058093006,"score_gpt":0.253249367228552,"score_spread":0.2405479614192514,"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."}}