{"id":"W4398250614","doi":"10.1371/journal.pone.0299655","title":"Risk assessment of organ transplant operation: A fuzzy hybrid MCDM approach based on fuzzy FMEA","year":2024,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Multiple-criteria decision analysis; Ranking (information retrieval); Risk analysis (engineering); Intensive care medicine; Fuzzy logic; Risk assessment; Transplantation; Computer science; Medicine; Operations research; Surgery; 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":[0.002619572,0.001407454,0.001296141,0.004613534,0.001118339,0.001989702,0.001604576,0.00141224,0.00212507],"category_scores_gemma":[0.002757297,0.0007076872,0.002095785,0.002081904,0.0006892196,0.001007641,0.001518175,0.0008467416,0.00009505393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002486151,"about_ca_system_score_gemma":0.001954587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02024044,"about_ca_topic_score_gemma":0.01621588,"domain_scores_codex":[0.9985681,0.0006187056,0.00009775472,0.000191859,0.0003684042,0.0001551913],"domain_scores_gemma":[0.9991246,0.0005170343,0.00009477561,0.00001978237,0.0001919908,0.00005178823],"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":[0.00005927163,0.00007950413,0.001902439,0.0002718389,0.0001658474,0.0002422847,0.0002607174,0.9537097,0.001422967,0.008692514,0.0005651056,0.03262786],"study_design_scores_gemma":[0.00001627339,0.00004494694,0.0004358341,0.00004511739,0.00004532837,0.00003900129,0.0001124373,0.9926514,0.0002544514,0.005734181,0.0006018268,0.00001931299],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0384572,0.000728595,0.9545265,0.0003813895,0.000051828,0.0002750949,0.0001547713,0.0001082946,0.005316368],"genre_scores_gemma":[0.6562301,0.0007601001,0.3405796,0.0001117793,0.00005051625,0.0004406377,0.0001800107,0.00002480494,0.001622453],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02024044,"threshold_uncertainty_score":0.04024523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1813667466544602,"score_gpt":0.3771850926516206,"score_spread":0.1958183459971604,"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."}}