{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006023154,0.0003980576,0.0006143741,0.0004810102,0.0002782142,0.0004616276,0.0001951459,0.0005302909,0.0005078829],"category_scores_gemma":[0.001600367,0.0002096717,0.0004405511,0.0004697877,0.0001614229,0.0003218781,0.0001822195,0.0005427286,0.0001493138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002060349,"about_ca_system_score_gemma":0.0002007295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002040063,"about_ca_topic_score_gemma":0.003263281,"domain_scores_codex":[0.999736,0.00008077098,0.00004501334,0.0000519356,0.00005460887,0.0000316552],"domain_scores_gemma":[0.9988868,0.0003803919,0.0003527911,0.00004988304,0.0001158044,0.0002143068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003657602,0.00005653016,0.9976745,0.000005934015,0.00005452277,0.00002841718,0.00001471897,0.0000652653,0.0002924009,0.000001698803,0.00002361894,0.001416554],"study_design_scores_gemma":[0.00002712323,0.0004355273,0.9982712,0.000003248191,0.00006988462,0.0001355891,0.00005956947,0.0007654075,0.0001416197,0.00000666338,0.00008037229,0.00000373904],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993311,0.0003495632,0.00006856808,0.0000206873,0.000005370053,0.000005012485,0.00006469966,0.000002233157,0.0001527726],"genre_scores_gemma":[0.9993997,0.0001170845,0.0001713748,0.00002292744,0.00001260837,0.000005992383,0.0001888515,0.000001017808,0.00008035977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002040063,"threshold_uncertainty_score":0.004056454,"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."}}