{"id":"W4411599948","doi":"10.1109/mnet.2025.3582407","title":"Chain-of-Trust: A Progressive Trust Evaluation Framework Enabled by Generative AI","year":2025,"lang":"en","type":"article","venue":"IEEE Network","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Western University","funders":"","keywords":"Computer science; Chain (unit); Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001168161,0.0002527338,0.0003455216,0.0001268987,0.0003344764,0.0002122602,0.001027068,0.0002246109,0.00005362993],"category_scores_gemma":[0.0002952928,0.0002451037,0.0001091146,0.001880328,0.0001386709,0.0004503117,0.0001699865,0.0003652311,0.00005547022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001703115,"about_ca_system_score_gemma":0.0003781078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003773337,"about_ca_topic_score_gemma":0.00001625372,"domain_scores_codex":[0.9972341,0.0003848288,0.0005269898,0.0006433882,0.0005876771,0.0006229882],"domain_scores_gemma":[0.9977615,0.0003843014,0.0002709556,0.0008520083,0.0006324595,0.00009879599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001721188,0.0004633793,0.002332866,0.00009117922,0.0003270172,0.00004005355,0.006257478,0.1665002,0.003012094,0.2924173,0.3915718,0.1368145],"study_design_scores_gemma":[0.0002710303,0.0002104218,0.0001590768,0.0003731326,0.00005595592,0.000002909114,0.0001631059,0.561538,0.09561961,0.3268262,0.01437478,0.0004057747],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03248851,0.003391715,0.9482306,0.002599506,0.006316784,0.001365703,0.000004415087,0.000200781,0.005402009],"genre_scores_gemma":[0.9554997,0.00006009736,0.03590393,0.003977582,0.002164768,0.0006030505,0.00001267878,0.00003007834,0.001748119],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9230112,"threshold_uncertainty_score":0.999504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02242733681548542,"score_gpt":0.3204009277819989,"score_spread":0.2979735909665135,"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."}}