{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003930878,0.0002827469,0.0006343887,0.0006817,0.0001583226,0.0007349051,0.0009034264,0.00009349927,0.001301715],"category_scores_gemma":[0.001287906,0.0002073611,0.0001938104,0.0009581257,0.00008714115,0.0003771462,0.00008903574,0.0004143137,0.0004410981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009832665,"about_ca_system_score_gemma":0.000271119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000213245,"about_ca_topic_score_gemma":0.000007572016,"domain_scores_codex":[0.9930623,0.0005324783,0.00118159,0.001009277,0.003886497,0.0003278913],"domain_scores_gemma":[0.9960499,0.001891067,0.0002124521,0.001179998,0.0004900599,0.0001765498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002026827,0.04174186,0.06945505,0.002247792,0.002799873,0.0015863,0.01269671,0.07247265,0.4721701,0.03478594,0.03031335,0.2577035],"study_design_scores_gemma":[0.001033502,0.0003483645,0.007754509,0.000625839,0.000199678,0.00001056995,0.0001955687,0.9654835,0.01927745,0.00371129,0.0009517551,0.0004079711],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.821008,0.0002520301,0.146034,0.001658455,0.0005727886,0.001109625,0.0007645241,0.000265105,0.02833556],"genre_scores_gemma":[0.9258484,0.00002586307,0.07297924,0.0002921218,0.0001756996,0.00005304972,0.00003872833,0.00003918872,0.0005476593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8930109,"threshold_uncertainty_score":0.9996113,"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."}}