{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001842574,0.000128081,0.0001675237,0.0001064231,0.0003546931,0.00004559189,0.0004698937,0.0001282352,0.00009657325],"category_scores_gemma":[0.0002879479,0.0001129156,0.00007266586,0.000340785,0.0001039832,0.00005757806,0.0003246916,0.0004024932,0.0004843866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001064732,"about_ca_system_score_gemma":0.00003699203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008135336,"about_ca_topic_score_gemma":0.00003978788,"domain_scores_codex":[0.9991833,0.00003972162,0.0001856785,0.0002107459,0.0001510267,0.0002295296],"domain_scores_gemma":[0.9980914,0.0001152031,0.00005936229,0.001424246,0.0001809584,0.0001288259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002134469,0.002503915,0.006046379,0.00007777185,0.0007715742,0.000004764035,0.003453169,0.000006371649,0.07531015,0.02880028,0.6467447,0.2360675],"study_design_scores_gemma":[0.0008094411,0.0002952742,0.005572827,0.00007392254,0.0001384496,6.764567e-7,0.0001692239,0.0001793924,0.0027851,0.00001301663,0.989822,0.000140653],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5429022,0.01306482,0.0007632705,0.1509714,0.004387069,0.006232394,0.00009100299,0.001738083,0.2798497],"genre_scores_gemma":[0.9600428,0.0001349878,0.03453169,0.002472636,0.0004505405,0.00007472304,0.0002407024,0.00002599189,0.002025956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4171406,"threshold_uncertainty_score":0.6225972,"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."}}