{"id":"W1972639947","doi":"10.1517/17530059.2.9.1041","title":"Novel biomarkers for early diagnosis of acute kidney injury","year":2008,"lang":"en","type":"article","venue":"Expert Opinion on Medical Diagnostics","topic":"Acute Kidney Injury Research","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta Hospital","funders":"","keywords":"Acute kidney injury; Medicine; Intensive care medicine; Biomarker; Bioinformatics; Pathology; Internal medicine; Biology","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":[0.005007311,0.00112533,0.001295732,0.003861784,0.0002801562,0.001973232,0.0008829894,0.001705058,0.004331469],"category_scores_gemma":[0.01068124,0.0002327421,0.00122587,0.002176407,0.0009851068,0.002587873,0.0009195691,0.002785321,0.001607624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001235259,"about_ca_system_score_gemma":0.002333915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009342136,"about_ca_topic_score_gemma":0.001153605,"domain_scores_codex":[0.9975948,0.0009865136,0.0003677909,0.000243055,0.0007073786,0.0001005142],"domain_scores_gemma":[0.9911787,0.004102618,0.001830239,0.0002133298,0.002474673,0.0002004452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006309372,0.0001718679,0.01084193,0.04861221,0.0007756857,0.0008170761,0.0002615739,0.0007782183,0.004326266,0.01977105,0.06493256,0.8480806],"study_design_scores_gemma":[0.000153252,0.0008904169,0.01542054,0.04907616,0.00170726,0.006055233,0.0005140563,0.00146033,0.007501087,0.02714454,0.8898958,0.0001812545],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.0008915199,0.9817973,0.004238519,0.008988031,0.001545463,0.00005905472,0.0002976553,0.00004120019,0.002141109],"genre_scores_gemma":[0.02156866,0.9538059,0.01370572,0.004888746,0.003875058,0.0002377655,0.0005059422,0.00001561655,0.001396746],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005007311,"threshold_uncertainty_score":0.02648151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05599967123719765,"score_gpt":0.3843406857385772,"score_spread":0.3283410145013795,"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."}}