{"id":"W1935699626","doi":"10.1111/j.2040-1124.2012.00214.x","title":"Predicting efficacy of dipeptidyl peptidase‐4 inhibitors in patients with type 2 diabetes: Association of glycated hemoglobin reduction with serum eicosapentaenoic acid and docosahexaenoic acid levels","year":2012,"lang":"en","type":"article","venue":"Journal of Diabetes Investigation","topic":"Diabetes Treatment and Management","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Nutrition, Metabolism and Diabetes","funders":"Japan Diabetes Foundation; Sanofi; Eli Lilly and Company","keywords":"Vildagliptin; Alogliptin; Medicine; Internal medicine; Sitagliptin; Type 2 diabetes; Docosahexaenoic acid; Eicosapentaenoic acid; Glycated hemoglobin; Endocrinology; Diabetes mellitus; Dipeptidyl peptidase-4; Hemoglobin; Dipeptidyl peptidase-4 inhibitor; Gastroenterology; Polyunsaturated fatty acid; Fatty acid; Biochemistry; Chemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.0007232305,0.0002291021,0.0005680185,0.0004455657,0.00004331084,0.0000196299,0.00007098308,0.0001140041,0.00001020866],"category_scores_gemma":[0.0002720096,0.0001715168,0.00006301224,0.0006692446,0.0001183264,0.0008163617,0.00003559384,0.0002253993,0.000001331042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003520322,"about_ca_system_score_gemma":0.00009224075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002827186,"about_ca_topic_score_gemma":0.000002360714,"domain_scores_codex":[0.9979192,0.0001171903,0.000774639,0.0001697123,0.0006599877,0.0003592717],"domain_scores_gemma":[0.9975654,0.00008408563,0.001514363,0.0001615144,0.0004846361,0.0001899605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001738361,0.0005732991,0.950769,0.0002694915,0.0004274293,4.128328e-7,0.0006719061,0.00004306439,0.04294856,0.000008128742,0.00006609902,0.004048742],"study_design_scores_gemma":[0.005588128,0.002596541,0.7868006,0.001338397,0.0005580556,5.767922e-7,0.0001420139,0.0000420414,0.2027679,0.00002396712,0.00001934667,0.0001223809],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985641,0.0003197588,0.000002700861,0.0001592039,0.0001971047,0.0006507059,0.000009731847,0.00001692956,0.00007979334],"genre_scores_gemma":[0.9985713,0.00001500756,0.001093368,0.00005592096,0.0001336764,0.00000834641,0.00006156178,0.00003048489,0.00003031751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1639684,"threshold_uncertainty_score":0.6994254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009296969331849429,"score_gpt":0.2167458893971066,"score_spread":0.2074489200652572,"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."}}