{"id":"W4366352838","doi":"10.1080/0886022x.2023.2201362","title":"Iron metabolism-related indicators as predictors of the incidence of acute kidney injury after cardiac surgery: a meta-analysis","year":2023,"lang":"en","type":"review","venue":"Renal Failure","topic":"Iron Metabolism and Disorders","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Medicine; Incidence (geometry); Meta-analysis; Observational study; Internal medicine; Cardiac surgery; Cochrane Library; Acute kidney injury; Confidence interval; Ferritin; Surgery","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01865736,0.003466455,0.01963246,0.01009725,0.0008310648,0.003846348,0.002810732,0.002510595,0.003093392],"category_scores_gemma":[0.03478944,0.001664347,0.06400888,0.008760825,0.0007237038,0.001772569,0.001866638,0.002212825,0.0003060041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002480103,"about_ca_system_score_gemma":0.003289601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006304899,"about_ca_topic_score_gemma":0.009918763,"domain_scores_codex":[0.9896942,0.004827394,0.002908266,0.001155106,0.001009063,0.0004058817],"domain_scores_gemma":[0.9738392,0.01988211,0.00323203,0.001081427,0.001609466,0.0003556527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.002089968,0.00003474444,0.009625514,0.1094324,0.8730105,0.000141714,0.00005193115,0.0007424506,0.0001582887,0.000085297,0.0003043497,0.004322807],"study_design_scores_gemma":[0.0002681757,0.0001226946,0.003728934,0.00495598,0.9899525,0.00005201743,0.00001717758,0.0002958791,0.00006348444,0.0001149838,0.0004148786,0.00001342238],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0138797,0.982246,0.001574033,0.0003234733,0.0002604481,0.0004936316,0.0008755025,0.00005556875,0.0002916071],"genre_scores_gemma":[0.4082117,0.579091,0.005685617,0.001124925,0.0005887414,0.002692738,0.001955337,0.000069813,0.0005801053],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01963246,"threshold_uncertainty_score":0.09867072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02104462722087055,"score_gpt":0.3017067575634998,"score_spread":0.2806621303426293,"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."}}