{"id":"W2082600934","doi":"10.1109/jsyst.2014.2344635","title":"Multicriteria Decision-Making Methodology for Systems Engineering","year":2014,"lang":"en","type":"article","venue":"IEEE Systems Journal","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Categorization; Computer science; Stakeholder; Preference; Decision maker; Process (computing); Set (abstract data type); Decision analysis; Multiple-criteria decision analysis; Management science; Operations research; Data mining; Mathematics; Artificial intelligence; Engineering; Statistics","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":["metaresearch"],"category_scores_codex":[0.03583674,0.0004813804,0.001454979,0.001495823,0.0006040366,0.003126903,0.002111183,0.0003550176,0.0001048203],"category_scores_gemma":[0.04568376,0.0003576115,0.0005072919,0.0007136574,0.00006325613,0.0007506467,0.0001672903,0.0005487511,0.0003036202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002166602,"about_ca_system_score_gemma":0.0001083624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001900517,"about_ca_topic_score_gemma":0.000004537401,"domain_scores_codex":[0.9900689,0.002110262,0.003407471,0.0009359929,0.002488262,0.0009891231],"domain_scores_gemma":[0.9611344,0.03382456,0.001512018,0.001245879,0.001818557,0.0004645805],"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":[0.0004566999,0.00008896334,0.001125845,0.0001568827,0.0001942685,0.0001367653,0.001375897,0.7640326,0.0524235,0.003787689,0.03805067,0.1381702],"study_design_scores_gemma":[0.001495571,0.0001592596,0.0005556632,0.0009967153,0.00004003748,0.003395143,0.0005499103,0.8423994,0.000146472,0.003874562,0.1458382,0.000549041],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1025112,0.000784445,0.8557873,0.00006223695,0.03994315,0.0006195006,0.00002680295,0.00009242524,0.0001729531],"genre_scores_gemma":[0.853788,0.000006191862,0.1419209,0.00007799632,0.003766799,0.00006086001,6.566622e-7,0.00008062323,0.0002979563],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7512769,"threshold_uncertainty_score":0.9998876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2772692299267082,"score_gpt":0.472712140359529,"score_spread":0.1954429104328208,"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."}}