{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006547316,0.0003814081,0.0004285492,0.0008316767,0.0002517118,0.0005923352,0.0001980042,0.0003668023,0.0008317857],"category_scores_gemma":[0.0006593547,0.0001631061,0.0002457591,0.0008344002,0.0001857213,0.0001351038,0.0002580839,0.0003473768,0.0001569113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000291959,"about_ca_system_score_gemma":0.000178409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00103343,"about_ca_topic_score_gemma":0.00138913,"domain_scores_codex":[0.9994568,0.0001524255,0.00004284023,0.0001386968,0.0001688052,0.00004029533],"domain_scores_gemma":[0.9995505,0.0000774777,0.00021507,0.0000303557,0.00005690249,0.000069637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01006341,0.0004445943,0.6719346,0.0005035113,0.0006522249,0.0007505495,0.0003916105,0.0005518224,0.2231523,0.0001781136,0.0008767389,0.09050055],"study_design_scores_gemma":[0.00004267879,0.001445353,0.9713543,0.00004009404,0.0002065311,0.001145821,0.00009820078,0.0007286709,0.02368715,0.00007113006,0.00115585,0.00002419395],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853925,0.01021743,0.001398573,0.00004458988,0.00004388062,0.00003457374,0.00108548,0.000075909,0.001706894],"genre_scores_gemma":[0.9954132,0.001231171,0.001885069,0.0001111099,0.00003109993,0.00004659476,0.0006141886,0.00001145285,0.0006560654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00103343,"threshold_uncertainty_score":0.003462553,"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."}}