{"id":"W2963720360","doi":"10.1038/s41598-019-46735-2","title":"AAV GCG-EGFP, a new tool to identify glucagon-secreting α-cells","year":2019,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Pancreatic function and diabetes","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Children's Hospital; University of British Columbia","funders":"Canadian Institutes of Health Research; University of British Columbia; Government of Canada; Michael Smith Health Research BC; Canadian Diabetes Association","keywords":"Green fluorescent protein; Glucagon; Transgene; Population; In vivo; Islet; Adeno-associated virus; Proglucagon; Flow cytometry; Biology; Molecular biology; Genetically modified mouse; In vitro; Insulin; Chemistry; Endocrinology; Gene; Medicine; Biochemistry; Glucagon-like peptide-1; Vector (molecular biology); Type 2 diabetes; Diabetes mellitus; Recombinant DNA","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":[0.0002479216,0.000359112,0.0002263571,0.0004465297,0.0001150258,0.0003533624,0.0002179574,0.000342742,0.0008725122],"category_scores_gemma":[0.0001633732,0.0001505174,0.0001439032,0.000158798,0.0002945862,0.0003536757,0.0002149115,0.0006524875,0.0005188457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001548676,"about_ca_system_score_gemma":0.0001736981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002703959,"about_ca_topic_score_gemma":0.0003634818,"domain_scores_codex":[0.999887,0.00001581654,0.000009712751,0.00004332767,0.0000288685,0.00001531054],"domain_scores_gemma":[0.9998715,0.00002706707,0.00003180469,0.00001495276,0.00001539335,0.00003928651],"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":[0.00002289688,0.000009106761,0.0001176768,0.0000189555,0.000002229344,0.00004544153,0.00001195756,0.0000365925,0.9966797,0.0001533671,0.00003972719,0.002862383],"study_design_scores_gemma":[0.000032842,0.0003329654,0.00173567,0.00002042605,0.00002904732,0.001485588,0.00002443298,0.001314096,0.9804849,0.0002672131,0.01426421,0.000008592229],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7749027,0.00936851,0.206907,0.00053101,0.0003368914,0.0002726696,0.0008309984,0.001304105,0.005546145],"genre_scores_gemma":[0.7597275,0.00489651,0.2250136,0.0002339536,0.0001129797,0.0001753416,0.001242503,0.0001900887,0.008407603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008725122,"threshold_uncertainty_score":0.002918899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01578511799415423,"score_gpt":0.284061350942124,"score_spread":0.2682762329479698,"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."}}