{"id":"W4237482698","doi":"10.1016/j.psep.2021.03.017","title":"Fuzzy Bayesian network based on an improved similarity aggregation method for risk assessment of storage tank accident","year":2021,"lang":"en","type":"article","venue":"Process Safety and Environmental Protection","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":163,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"National Natural Science Foundation of China","keywords":"Reliability (semiconductor); Consistency (knowledge bases); Bayesian network; Data mining; Computer science; Process (computing); Fuzzy logic; Reliability engineering; Similarity (geometry); Causality (physics); Risk analysis (engineering); Ranking (information retrieval); Bayesian probability; Node (physics); Risk assessment; Construct (python library); Operations research; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001962257,0.0007064712,0.001214905,0.002641773,0.0007502972,0.001163364,0.001180133,0.0009844046,0.001530929],"category_scores_gemma":[0.004577165,0.0004234225,0.001237209,0.001999331,0.0003682505,0.002068321,0.0008358756,0.0006851308,0.0001924105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001088053,"about_ca_system_score_gemma":0.001195465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01212703,"about_ca_topic_score_gemma":0.008716443,"domain_scores_codex":[0.9982859,0.0004832846,0.0001263663,0.000355052,0.0006439805,0.0001053846],"domain_scores_gemma":[0.9985587,0.0006917964,0.0001330497,0.00005763334,0.0005055854,0.00005320046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002717261,0.0001932686,0.004171882,0.0001771049,0.000317464,0.0001690932,0.0001874641,0.7452648,0.003864532,0.01674565,0.001867092,0.2267698],"study_design_scores_gemma":[0.00000697833,0.00002154057,0.0006895442,0.000006269483,0.00003528665,0.00002930015,0.00001061234,0.9954887,0.0003323758,0.003134063,0.0002325985,0.00001267155],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02604007,0.0002985382,0.9720757,0.00008849616,0.00003343661,0.00005132678,0.00008032455,0.0001243072,0.001207744],"genre_scores_gemma":[0.7492285,0.0006323351,0.2464624,0.00007287968,0.0001537258,0.00022897,0.0004199361,0.00003929315,0.002761978],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01212703,"threshold_uncertainty_score":0.02411288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02675037572001671,"score_gpt":0.3414320127557938,"score_spread":0.3146816370357771,"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."}}