{"id":"W2800843957","doi":"10.1038/s41467-018-03941-2","title":"Targeting GLP-1 receptor trafficking to improve agonist efficacy","year":2018,"lang":"en","type":"article","venue":"Nature Communications","topic":"Diabetes Treatment and Management","field":"Medicine","cited_by":283,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"FP7 Health; Precursory Research for Embryonic Science and Technology; Biotechnology and Biological Sciences Research Council; Medical Research Council; Japan Society for the Promotion of Science; Academy of Medical Sciences; East China Institute of Technology; Université de Genève; Rosetrees Trust; Royal Society; Diabetes Research and Wellness Foundation; National Institute for Health and Care Research; Diabetes UK; University of Alberta; Wellcome Trust; Japan Agency for Medical Research and Development","keywords":"Agonist; Endocytosis; Internalization; Endocytic cycle; Glucagon-like peptide 1 receptor; Receptor; G protein-coupled receptor; Pharmacology; Incretin; Chemistry; Cell biology; Type 2 diabetes; Endocrinology; Medicine; Biology; Diabetes mellitus; Biochemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001842118,0.0003088788,0.0003490227,0.0002089662,0.0001290664,0.0003787449,0.0002807455,0.0003533751,0.001906206],"category_scores_gemma":[0.0001670215,0.0001100275,0.0002644102,0.0001630453,0.0001173324,0.0003673525,0.0001976185,0.0008773286,0.0005346452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002626883,"about_ca_system_score_gemma":0.0002177723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002418548,"about_ca_topic_score_gemma":0.0006878925,"domain_scores_codex":[0.9998697,0.00002520344,0.0000109921,0.00002587566,0.00003467116,0.00003351265],"domain_scores_gemma":[0.9999456,0.00001128336,0.00001901188,0.000005022384,0.000008402924,0.0000107056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000413969,0.0002078708,0.0002151127,0.0001349618,0.00002041976,0.00004551623,0.00001887514,0.0004701362,0.9767511,0.000289103,0.0004021855,0.02103078],"study_design_scores_gemma":[0.0002800559,0.004462178,0.003473823,0.00004090853,0.0000996369,0.0005780315,0.00003758638,0.002655826,0.9733496,0.0002221624,0.01477493,0.00002524415],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9739208,0.01284548,0.00592146,0.0006438601,0.0001160945,0.0001548826,0.0006259484,0.0001871496,0.005584324],"genre_scores_gemma":[0.9787619,0.009115031,0.00818402,0.0004953101,0.00004191966,0.00009997808,0.0004192216,0.00005109401,0.002831655],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001906206,"threshold_uncertainty_score":0.006376922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01791564853052307,"score_gpt":0.3159146131098456,"score_spread":0.2979989645793226,"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."}}