{"id":"W4328121724","doi":"10.1002/9781119569503.ch15","title":"Development of a Fuzzy‐based Risk Assessment Model for Process Engineering","year":2023,"lang":"en","type":"other","venue":"","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor; Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Risk analysis (engineering); Risk management; Vulnerability (computing); Risk assessment; Fuzzy logic; Process (computing); Computer science; Engineering; Business; Computer security; 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":[0.000970508,0.0009009801,0.0006422887,0.0009543807,0.0007290036,0.001483131,0.001624116,0.001494337,0.003443066],"category_scores_gemma":[0.001668936,0.0004626406,0.001187044,0.0006484651,0.0004152635,0.001142081,0.0007979456,0.001271269,0.0004739978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001744572,"about_ca_system_score_gemma":0.002197947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02317394,"about_ca_topic_score_gemma":0.01402216,"domain_scores_codex":[0.9995697,0.0001029703,0.00003167814,0.00009304244,0.000157764,0.00004483622],"domain_scores_gemma":[0.9994356,0.0002756647,0.00006224187,0.00001834893,0.0001881428,0.00002009321],"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":[0.00001943315,0.00001846975,0.0003495192,0.00004064478,0.00001597684,0.00006782544,0.00004785186,0.9773424,0.0008838107,0.007775917,0.0002505083,0.01318754],"study_design_scores_gemma":[0.000002161722,0.000009327543,0.00005249013,0.000005996628,0.000005412767,0.00001083036,0.00000572988,0.9976204,0.0001695005,0.001747496,0.000366896,0.000003675256],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01234354,0.0002090651,0.980916,0.0001970946,0.0000281953,0.00008620385,0.000153321,0.000205456,0.005861132],"genre_scores_gemma":[0.7412682,0.0006427942,0.2495292,0.0001045168,0.00004027722,0.0005849226,0.0004000666,0.00004609094,0.007383957],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02317394,"threshold_uncertainty_score":0.04607809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.106756477314574,"score_gpt":0.4135827671429016,"score_spread":0.3068262898283277,"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."}}