{"id":"W2015140470","doi":"10.1159/000368701","title":"Impact of Antibiotic Treatment Intensity on Long-Term Sepsis-Associated Kidney Injury in a Polymicrobial Peritoneal Contamination and Infection Model","year":2015,"lang":"en","type":"article","venue":"˜The œNephron journals/Nephron journals","topic":"Acute Kidney Injury Research","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Berger (Canada)","funders":"Bundesministerium für Bildung und Forschung","keywords":"Medicine; Sepsis; Creatinine; Acute kidney injury; Kidney; Internal medicine; Kidney disease; Urinary system; Urine; Renal function; Antibiotics; Peritonitis; Gastroenterology; Urology; 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":[0.0003010801,0.0003588803,0.0005701382,0.0002703003,0.0001176901,0.0003764282,0.0002405236,0.0003505104,0.0009139329],"category_scores_gemma":[0.0003308431,0.0001102814,0.000298868,0.0001801427,0.000304337,0.000354042,0.0002728655,0.0009180965,0.0001271231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002132376,"about_ca_system_score_gemma":0.0003580982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002341211,"about_ca_topic_score_gemma":0.00047533,"domain_scores_codex":[0.9996014,0.00006658234,0.00004621816,0.00008722086,0.00008606014,0.0001125142],"domain_scores_gemma":[0.9993709,0.00007940536,0.0002508233,0.00005979832,0.00005625209,0.0001829261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.007851348,0.001681325,0.002747884,0.0001484825,0.0000480604,0.0000750208,0.00006006399,0.0001775421,0.9801369,0.00003602223,0.00007739513,0.006959778],"study_design_scores_gemma":[0.0003321364,0.07081809,0.06600273,0.00007472245,0.0002726491,0.0004138727,0.0001967293,0.001769638,0.8582888,0.0000887319,0.001696144,0.00004587748],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986256,0.0006404956,0.0003693822,0.000036373,0.0000234496,0.00002391849,0.00009496038,0.00001218965,0.0001735471],"genre_scores_gemma":[0.9974198,0.0006216182,0.0009934061,0.00005686639,0.00002508769,0.00006811782,0.0002167949,0.000008769791,0.0005894819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009139329,"threshold_uncertainty_score":0.00305748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0638059377087201,"score_gpt":0.3888593028941905,"score_spread":0.3250533651854703,"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."}}