{"id":"W2604816492","doi":"10.1152/ajprenal.00043.2017","title":"Urinary adenosine excretion in type 1 diabetes","year":2017,"lang":"en","type":"article","venue":"American Journal of Physiology-Renal Physiology","topic":"Adenosine and Purinergic Signaling","field":"Biochemistry, Genetics and Molecular Biology","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; Mount Sinai Hospital; University of Toronto; University Health Network","funders":"University of Toronto; Kidney Foundation of Canada; Canadian Society of Endocrinology and Metabolism; Canadian Diabetes Association; Banting and Best Diabetes Centre, University of Toronto; Heart and Stroke Foundation of Canada","keywords":"Internal medicine; Endocrinology; Adenosine; Tubuloglomerular feedback; Glomerular hyperfiltration; Medicine; Diabetes mellitus; Urinary system; Excretion; Type 2 diabetes; Natriuresis; Chemistry; Renal function; Diabetic nephropathy","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":[0.0002231298,0.0002209961,0.000540588,0.000117055,0.0001420576,0.00001517079,0.000630266,0.000119404,0.00005917885],"category_scores_gemma":[0.0001899145,0.0001857045,0.0001706096,0.00009697209,0.0007109683,0.00002105752,0.0002107758,0.0003017866,0.00001323305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001807036,"about_ca_system_score_gemma":0.0001061374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003168123,"about_ca_topic_score_gemma":0.000002103662,"domain_scores_codex":[0.9985578,0.0002042059,0.0004366309,0.000314583,0.0001033459,0.0003834221],"domain_scores_gemma":[0.9982657,0.00004593383,0.0009082772,0.000485673,0.0001941521,0.0001002205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0007405282,0.0001431368,0.003245055,0.00001005894,0.0001052059,0.000009620479,0.00002875467,0.0004401337,0.9913327,0.00003317346,0.002634197,0.001277406],"study_design_scores_gemma":[0.001749619,0.009272207,0.8276752,0.0001105214,0.00006187223,0.000118343,0.0001504289,0.00009274305,0.1516792,0.001877774,0.006709581,0.0005025281],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997525,0.001546945,0.00002242901,0.0003433863,0.0003632177,0.00005871635,0.000004425578,0.000004399093,0.000131441],"genre_scores_gemma":[0.9972855,0.000534343,0.0003506218,0.000399142,0.001310019,0.000003926084,0.00003362177,0.0000238869,0.00005894551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8396535,"threshold_uncertainty_score":0.7572808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009224471060035901,"score_gpt":0.2622375461036351,"score_spread":0.2530130750435993,"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."}}