{"id":"W4392554343","doi":"10.1007/978-3-031-51719-8_8","title":"Enhancing Hydrogen Risk Management: A Modified EDAS-Based FMEA Approach","year":2024,"lang":"en","type":"book-chapter","venue":"Studies in systems, decision and control","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"EDAS; Risk analysis (engineering); Computer science; Medicine; Artificial intelligence; Estimation of distribution algorithm","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":[0.0007641008,0.001129325,0.0008044074,0.0007825535,0.0003219601,0.001125605,0.001397918,0.0007516257,0.004693137],"category_scores_gemma":[0.001174147,0.0002464706,0.00107359,0.0007130641,0.0004181682,0.0009044856,0.00105489,0.0008712606,0.0004010935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007626423,"about_ca_system_score_gemma":0.0006206793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002624283,"about_ca_topic_score_gemma":0.00217722,"domain_scores_codex":[0.9995682,0.000143254,0.00001782187,0.00005617709,0.0001717863,0.00004271405],"domain_scores_gemma":[0.9996428,0.0001806251,0.00003191986,0.0000359987,0.00009517829,0.00001339799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000765204,0.0001471092,0.0004549665,0.0001789448,0.0001495861,0.000108256,0.00006764704,0.7325386,0.006634123,0.04864483,0.00177587,0.2092236],"study_design_scores_gemma":[0.00001485693,0.00009854293,0.0002854601,0.00002941854,0.00005575481,0.00005848199,0.00003893613,0.9590504,0.003490367,0.03093587,0.00592667,0.00001519697],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007104394,0.0003793256,0.9751827,0.0001995536,0.00008703231,0.00006361793,0.00005739607,0.0001397585,0.01678629],"genre_scores_gemma":[0.4135126,0.0008792909,0.5615976,0.0002570057,0.0001664865,0.0002196597,0.0001857688,0.0001346817,0.02304689],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004693137,"threshold_uncertainty_score":0.01570016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08366899931968085,"score_gpt":0.3583851103215424,"score_spread":0.2747161110018616,"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."}}