{"id":"W3201468878","doi":"10.1016/j.asoc.2021.107902","title":"Systems failure analysis using Z-number theory-based combined compromise solution and full consistency method","year":2021,"lang":"en","type":"article","venue":"Applied Soft Computing","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":57,"is_retracted":false,"has_abstract":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Failure mode and effects analysis; Computer science; Ranking (information retrieval); Consistency (knowledge bases); Reliability (semiconductor); Prioritization; Reliability engineering; Process (computing); Compromise; Risk analysis (engineering); Automotive industry; Machine learning; Engineering; Management science; 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":[0.004456934,0.001277263,0.00246187,0.00234875,0.0009917534,0.001859528,0.002560365,0.001631683,0.002668962],"category_scores_gemma":[0.007877326,0.0007742285,0.002274333,0.001851996,0.001329005,0.002206251,0.002556045,0.001393584,0.0004627302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001074195,"about_ca_system_score_gemma":0.001711375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002917639,"about_ca_topic_score_gemma":0.001735391,"domain_scores_codex":[0.997305,0.001038569,0.0001306432,0.0003005703,0.001082687,0.0001424641],"domain_scores_gemma":[0.997045,0.00195059,0.0001860344,0.0001782745,0.0005854082,0.00005475591],"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":[0.0001147339,0.00003865712,0.0005888762,0.0001804999,0.0001693906,0.00008144038,0.00009740557,0.9123901,0.002373833,0.03680894,0.0004723206,0.04668381],"study_design_scores_gemma":[0.0000086725,0.00002373953,0.00008854053,0.000009870831,0.00001886232,0.00001734031,0.000008043317,0.990488,0.0004000309,0.008674366,0.0002520837,0.00001045013],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003023805,0.00005968297,0.9959661,0.00002321453,0.00001103651,0.00002872606,0.000008676558,0.00003838816,0.0008404221],"genre_scores_gemma":[0.5032706,0.0002568642,0.4927663,0.00007061631,0.00003792721,0.0004312134,0.0001104553,0.0001122863,0.002943705],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004456934,"threshold_uncertainty_score":0.02357084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09582894413593868,"score_gpt":0.3980041777284429,"score_spread":0.3021752335925042,"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."}}