{"id":"W2109078233","doi":"10.1093/ndt/gfs595","title":"Novel biomarkers of AKI: the challenges of progress 'Amid the noise and the haste'","year":2013,"lang":"en","type":"letter","venue":"Nephrology Dialysis Transplantation","topic":"Acute Kidney Injury Research","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Children's Hospital; McGill University Health Centre; University of Alberta","funders":"","keywords":"Medicine; Acute kidney injury; Intensive care medicine; Biomarker; Dialysis; Kidney transplantation; Nephrology; Narrative review; Value (mathematics); Transplantation; Internal medicine; Computer science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.02112829,0.001107446,0.002708956,0.001473709,0.003640677,0.006082946,0.003340858,0.04460871,0.00231678],"category_scores_gemma":[0.07694153,0.0009490448,0.001846984,0.001332234,0.00909062,0.01382512,0.002833932,0.06607258,0.002948158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005900078,"about_ca_system_score_gemma":0.005101217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003451276,"about_ca_topic_score_gemma":0.004404257,"domain_scores_codex":[0.9820078,0.008981059,0.002546323,0.001735764,0.004056906,0.0006722164],"domain_scores_gemma":[0.919665,0.05947933,0.003250958,0.001980292,0.01178507,0.003839277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001386158,0.0001109592,0.002235233,0.0003602756,0.00005714404,0.003116833,0.000693342,0.0001711507,0.0003999138,0.006700471,0.9359597,0.05005639],"study_design_scores_gemma":[0.0002698528,0.0003214484,0.003248632,0.001924541,0.0001035045,0.01427463,0.002443521,0.001791341,0.0006280259,0.05043767,0.9242339,0.0003229072],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001658349,0.003729637,0.0001387137,0.988848,0.006852189,0.000004230201,0.0000123172,0.0000120801,0.0002370698],"genre_scores_gemma":[0.002591182,0.004735568,0.0006819536,0.9426501,0.0487582,0.00002146982,0.00001381576,0.00001363984,0.000534153],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04460871,"threshold_uncertainty_score":0.1117384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02594848869410227,"score_gpt":0.2844464121590543,"score_spread":0.258497923464952,"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."}}