{"id":"W2899274517","doi":"10.1152/ajprenal.00163.2018","title":"The determinants, biomarkers, and consequences of microvascular injury in kidney transplant recipients","year":2018,"lang":"en","type":"review","venue":"American Journal of Physiology-Renal Physiology","topic":"Renal Transplantation Outcomes and Treatments","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal","funders":"Kidney Foundation of Canada","keywords":"Peritubular capillaries; Pathology; Fibrosis; Ischemia; Medicine; Human leukocyte antigen; Kidney; Immunology; Hypoxia (environmental); Pericyte; Biology; Endothelial stem cell; Antigen; Internal medicine; Chemistry","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":[0.0006115842,0.0005406311,0.001443779,0.001884283,0.0001680178,0.0007724907,0.0005729579,0.0006724852,0.001539458],"category_scores_gemma":[0.001270714,0.0001970215,0.0005933628,0.001388151,0.0003779413,0.0007861445,0.0004289109,0.001022203,0.0004245386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003502903,"about_ca_system_score_gemma":0.0008618298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001039368,"about_ca_topic_score_gemma":0.001621608,"domain_scores_codex":[0.9998119,0.00003963164,0.00004709773,0.00003280363,0.00005445211,0.0000140839],"domain_scores_gemma":[0.9994783,0.0002844038,0.00009382711,0.0000103313,0.0001053393,0.00002786217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001707507,0.00009797172,0.002052784,0.02784378,0.0003437088,0.0001581812,0.0000617351,0.0002203998,0.0006391341,0.001676796,0.01394438,0.9527904],"study_design_scores_gemma":[0.00006101375,0.0003592737,0.01972643,0.03344756,0.00171605,0.005427896,0.0002963846,0.0003109145,0.001194355,0.005650458,0.9317285,0.00008129414],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001246037,0.9994751,0.00003008455,0.000147867,0.00004188434,0.000001640675,0.00001014842,0.000001405774,0.0001672901],"genre_scores_gemma":[0.001009723,0.998632,0.00007413003,0.00007120495,0.00009795127,0.00000401145,0.00001728616,4.374835e-7,0.00009314275],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.001884283,"threshold_uncertainty_score":0.00515002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02085720647528153,"score_gpt":0.3277864396178816,"score_spread":0.3069292331426001,"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."}}