{"id":"W3005696213","doi":"10.1126/scitranslmed.aaw9996","title":"GLP-1 receptor agonists synergize with DYRK1A inhibitors to potentiate functional human β cell regeneration","year":2020,"lang":"en","type":"article","venue":"Science Translational Medicine","topic":"Pancreatic function and diabetes","field":"Medicine","cited_by":120,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Institute of General Medical Sciences; NIH Office of the Director; National Institute of Diabetes and Digestive and Kidney Diseases; Juvenile Diabetes Research Foundation United States of America","keywords":"Regeneration (biology); DYRK1A; Receptor; Pharmacology; Cell biology; Agonist; Chemistry; Medicine; Biology; Biochemistry; Phosphorylation","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":[0.0004105094,0.0001943765,0.0002878927,0.0002436314,0.0003929859,0.00002856213,0.0001121642,0.00004391594,0.001558803],"category_scores_gemma":[0.0001714522,0.0001384065,0.00004812488,0.001374546,0.0005495494,0.0002505695,0.00001263396,0.0001652909,0.0001604621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006340129,"about_ca_system_score_gemma":0.0004009579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002504037,"about_ca_topic_score_gemma":0.00000467568,"domain_scores_codex":[0.9973672,0.00002731115,0.000360842,0.0005419483,0.001397805,0.0003048872],"domain_scores_gemma":[0.998612,0.0000576888,0.00008168006,0.0001759864,0.0003815384,0.0006910457],"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":[0.0003699551,0.00007334663,0.005813044,0.00005513672,0.00001909824,0.000006780245,0.0007475876,0.0008153346,0.9805126,0.001851262,0.008802677,0.0009332433],"study_design_scores_gemma":[0.02055635,0.008754547,0.2302778,0.001093481,0.0006457208,0.00009422246,0.001491433,0.008835901,0.6670315,0.000932641,0.05891886,0.001367522],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8656734,0.0002298422,0.01246371,0.1036235,0.0006189605,0.0006635683,0.0000165821,0.000174046,0.01653637],"genre_scores_gemma":[0.9879046,0.000005810754,0.003581693,0.00611859,0.001108313,0.00002724527,0.0001662548,0.0000179305,0.001069552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3134811,"threshold_uncertainty_score":0.9993539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02836317290871835,"score_gpt":0.2605205434192079,"score_spread":0.2321573705104896,"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."}}