{"id":"W2021687299","doi":"10.1053/j.ajkd.2009.10.004","title":"Testing New Biomarkers for Acute Kidney Injury: Association, Prediction, and Intervention","year":2009,"lang":"en","type":"letter","venue":"American Journal of Kidney Diseases","topic":"Acute Kidney Injury Research","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"National Cancer Institute; National Heart, Lung, and Blood Institute","keywords":"Medicine; Acute kidney injury; Intervention (counseling); Kidney disease; Intensive care medicine; Association (psychology); Internal medicine; Emergency medicine; Psychiatry","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":[0.008539844,0.0008147664,0.002355703,0.0009353029,0.001743171,0.00204817,0.001360707,0.02597608,0.003473741],"category_scores_gemma":[0.05017142,0.0004666976,0.001124434,0.0006350439,0.001984932,0.00240001,0.0009386346,0.01911197,0.002482977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00214713,"about_ca_system_score_gemma":0.003292235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002858355,"about_ca_topic_score_gemma":0.00709708,"domain_scores_codex":[0.9914672,0.004333694,0.001312173,0.0005717989,0.001874869,0.0004402349],"domain_scores_gemma":[0.9537657,0.03737351,0.001385518,0.0006347528,0.004645958,0.002194582],"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":[0.0008505759,0.000638106,0.03742341,0.0002214289,0.0001368734,0.003053559,0.0001692893,0.0003102467,0.0007052207,0.003050908,0.8527808,0.1006597],"study_design_scores_gemma":[0.003933851,0.002600121,0.05965746,0.002704871,0.0008533146,0.01723362,0.001632079,0.01088538,0.003080403,0.06171422,0.8352721,0.0004325293],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002224556,0.00161898,0.0004430069,0.9858773,0.007731721,0.00003298535,0.0001214921,0.00003167364,0.001918315],"genre_scores_gemma":[0.0191672,0.002941818,0.002196459,0.928935,0.04347231,0.0001588033,0.0001209115,0.00001795773,0.002989585],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02597608,"threshold_uncertainty_score":0.04516351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01537171492886107,"score_gpt":0.3254219224603452,"score_spread":0.3100502075314842,"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."}}