{"id":"W2795096716","doi":"10.1016/j.artmed.2018.03.003","title":"Pharmacological therapy selection of type 2 diabetes based on the SWARA and modified MULTIMOORA methods under a fuzzy environment","year":2018,"lang":"en","type":"article","venue":"Artificial Intelligence in Medicine","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":55,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kwantlen Polytechnic University; Simon Fraser University","funders":"University of Tehran","keywords":"Multiple-criteria decision analysis; Computer science; Ranking (information retrieval); Fuzzy logic; Selection (genetic algorithm); Machine learning; Artificial intelligence; Data mining; Mathematical optimization; Mathematics","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":[0.008606749,0.0001879384,0.0003964425,0.0003714153,0.0001470127,0.00004961927,0.0005162004,0.0001068891,0.003450777],"category_scores_gemma":[0.004882353,0.00009844719,0.00004713184,0.001025825,0.0009834757,0.00008667168,0.00006401038,0.0002524432,0.00009867874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004519384,"about_ca_system_score_gemma":0.00003159788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000441161,"about_ca_topic_score_gemma":0.00001200774,"domain_scores_codex":[0.996042,0.001179185,0.000976419,0.0005400327,0.000983785,0.0002785421],"domain_scores_gemma":[0.9909127,0.008129955,0.0002587124,0.0003846054,0.0002279388,0.00008612437],"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":[0.0006284048,0.0002203064,0.001730434,0.000001933604,0.00001761149,0.000002441883,0.001071352,0.009092635,0.3368703,0.005426114,0.0003033487,0.6446351],"study_design_scores_gemma":[0.0001361241,0.0008528219,0.002999868,0.00003852926,0.000009441758,5.052223e-7,0.0007858687,0.721571,0.1494662,0.1236079,0.0004216469,0.0001100138],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6918514,0.00014739,0.3025227,0.003889355,0.0006045331,0.0004320319,0.000001298571,0.00001862886,0.0005325574],"genre_scores_gemma":[0.9837952,0.00006896449,0.01403782,0.001827739,0.0002135167,0.00002091385,6.749007e-7,0.00001052548,0.00002465503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7124784,"threshold_uncertainty_score":0.9974602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4353393366665765,"score_gpt":0.52508268059044,"score_spread":0.08974334392386352,"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."}}