{"id":"W2790192732","doi":"10.1371/journal.pone.0190772","title":"Acute kidney injury in cats and dogs: A proportional meta-analysis of case series studies","year":2018,"lang":"en","type":"review","venue":"PLoS ONE","topic":"Acute Kidney Injury Research","field":"Medicine","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; McMaster University","funders":"Bureau of Reclamation; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Etiology; Medicine; CATS; Incidence (geometry); Acute kidney injury; Internal medicine; Meta-analysis; Relative risk; Mortality rate; Confidence interval","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000954286,0.000485106,0.007997625,0.001581391,0.00006627257,0.0000179456,0.0001707995,0.0002889736,0.0007180154],"category_scores_gemma":[0.001719116,0.0003179032,0.00115485,0.001961155,0.0006357853,0.0001346801,0.0003440718,0.0005602301,0.00003089028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000174918,"about_ca_system_score_gemma":0.001058043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005541073,"about_ca_topic_score_gemma":0.00003568003,"domain_scores_codex":[0.9963799,0.0003006317,0.001275672,0.0006698322,0.001005094,0.0003689438],"domain_scores_gemma":[0.9973532,0.0001561325,0.0005509786,0.0007882428,0.0007456246,0.0004058423],"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":[0.0001406575,0.00110703,0.0001346074,0.03852728,0.942739,0.002265369,0.0002941282,1.220263e-9,0.00001475881,0.00002320351,0.01243543,0.002318528],"study_design_scores_gemma":[0.0002506097,0.0005827307,0.000003963863,0.002626052,0.9195399,0.0008444833,0.00003956454,0.000002700396,0.00007334458,0.00002266401,0.07575566,0.0002582781],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006317028,0.9897866,4.742781e-7,0.0009196151,0.00001752433,0.001865714,0.006571523,0.00002744644,0.0001793587],"genre_scores_gemma":[0.00004576722,0.9920667,0.00177581,0.0001598791,0.0001080323,0.0009684272,0.0009912872,0.0000543902,0.003829752],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.06332023,"threshold_uncertainty_score":0.9999273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3983704440617649,"score_gpt":0.4633611626839266,"score_spread":0.06499071862216171,"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."}}