{"id":"W4400365763","doi":"10.1007/s00500-023-09607-6","title":"Multi-criteria decision-making using a complete ranking of generalized trapezoidal fuzzy numbers: modified results","year":2024,"lang":"en","type":"article","venue":"Soft Computing","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Ranking (information retrieval); Fuzzy logic; Computer science; Mathematics; Artificial intelligence; Mathematical optimization","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":["metaresearch","metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0111038,0.0006773356,0.001439987,0.001679689,0.0006945695,0.002164413,0.002153601,0.0003008473,0.0002396538],"category_scores_gemma":[0.01088753,0.0005847048,0.0007711068,0.003125654,0.0002834968,0.0008509085,0.001307438,0.0006275482,0.000159972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000208344,"about_ca_system_score_gemma":0.000269591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001382631,"about_ca_topic_score_gemma":0.00003925275,"domain_scores_codex":[0.9882786,0.001026334,0.004212775,0.002120001,0.003278134,0.001084113],"domain_scores_gemma":[0.981544,0.01462406,0.001070534,0.001611543,0.0008963374,0.0002535491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001272445,0.0002331433,0.0007148834,0.000163786,0.0002454133,0.0005617438,0.01255283,0.1669279,0.1411293,0.001741211,0.002065806,0.6723915],"study_design_scores_gemma":[0.002348795,0.00004159058,0.0009709466,0.002181079,0.00005326522,0.0001692045,0.0006512908,0.976422,0.0002761432,0.01431621,0.001942893,0.0006265973],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.464842,0.0006897238,0.5303049,0.00006672033,0.002874384,0.0003461186,0.0001024421,0.0002730811,0.0005005897],"genre_scores_gemma":[0.6647291,0.000003192886,0.3345531,0.0001408554,0.0004407005,0.000002605527,0.000007969425,0.0000776325,0.00004495894],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8094941,"threshold_uncertainty_score":0.9996604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2347358149974256,"score_gpt":0.4620532923938475,"score_spread":0.2273174773964219,"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."}}