{"id":"W3199067987","doi":"10.1186/s13293-021-00393-0","title":"Role of GDF-15, YKL-40 and MMP 9 in patients with end-stage kidney disease: focus on sex-specific associations with vascular outcomes and all-cause mortality","year":2021,"lang":"en","type":"article","venue":"Biology of Sex Differences","topic":"Studies on Chitinases and Chitosanases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; Alberta Health; University of Alberta; Alberta Health Services","funders":"Canadian Institutes of Health Research; Hjärt-Lungfonden; Njurfonden; “la Caixa” Foundation; Austrian Science Fund; Vetenskapsrådet; Karolinska Institutet","keywords":"Medicine; Kidney disease; Internal medicine; Biomarker; Diabetes mellitus; Context (archaeology); Coronary artery disease; Disease; End stage renal disease; Endocrinology; Gastroenterology; Physiology; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.00004943138,0.000164474,0.0003265682,0.00003144476,0.00005055392,0.000007582427,0.00007338949,0.0000845494,0.00001611412],"category_scores_gemma":[0.00005147062,0.0001115,0.00004048712,0.00005378119,0.000284283,0.000003438832,0.00008043656,0.00005483481,1.089347e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004809872,"about_ca_system_score_gemma":0.00004920992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008265999,"about_ca_topic_score_gemma":0.0005636327,"domain_scores_codex":[0.9990928,0.00008537409,0.0001935251,0.0003523702,0.0001100176,0.0001658951],"domain_scores_gemma":[0.9994579,0.00005234532,0.0001306025,0.0002163614,0.00005782687,0.00008496371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009469614,0.0002604108,0.9950985,0.00002070616,0.0006708668,0.000001824246,0.00008276179,9.011386e-7,0.002679934,0.0001777134,0.0000152138,0.0008964584],"study_design_scores_gemma":[0.001063358,0.0005290474,0.987665,0.0000235211,0.00008627454,2.24802e-7,0.0005519085,0.000001385081,0.00950065,0.0001246954,0.0003120056,0.0001419363],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966689,0.002148558,0.000005175767,0.00009046648,0.00001907503,0.0001298998,0.0008353303,0.000003607924,0.00009896742],"genre_scores_gemma":[0.998234,0.001169364,0.00005891452,0.00006930894,0.00001569198,0.00001433565,0.000398231,0.000007563866,0.00003262172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00743352,"threshold_uncertainty_score":0.454684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01590318359231278,"score_gpt":0.2512508129839868,"score_spread":0.235347629391674,"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."}}