{"id":"W4280589336","doi":"10.1038/s41598-022-12079-7","title":"Sportomics suggests that albuminuria is a sensitive biomarker of hydration in cross combat","year":2022,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Thermoregulation and physiological responses","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Centre; University Health Network; University of Toronto; Carleton University","funders":"Universidade Federal do Estado do Rio de Janeiro; Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Financiadora de Estudos e Projetos; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Waters Corporation","keywords":"Albuminuria; Biomarker; Medicine; Computational biology; Internal medicine; Chemistry; Biology; Renal function; Biochemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.001156711,0.00008476103,0.0002117413,0.0001697908,0.0001325464,0.00002761421,0.00004116246,0.00004023928,0.0009105048],"category_scores_gemma":[0.0001490476,0.00007174646,0.00008927475,0.0004853417,0.0002450382,0.00005896552,0.00007279802,0.00009737673,0.000004384881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007433627,"about_ca_system_score_gemma":0.000153626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000388564,"about_ca_topic_score_gemma":0.000009762698,"domain_scores_codex":[0.9985231,0.00009296063,0.0003766437,0.0003860988,0.0004699879,0.0001512697],"domain_scores_gemma":[0.9990734,0.0000648065,0.00027861,0.0004146512,0.0001017553,0.00006673903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.003165849,0.0005159681,0.1219406,0.00004405186,0.00003499471,0.001768947,0.002969315,0.0003641174,0.8544232,0.00009153315,0.006652127,0.008029282],"study_design_scores_gemma":[0.0003177185,0.00005797424,0.8811815,0.00002057379,0.000009988794,0.0002646135,0.0002420211,0.0005825784,0.1116871,0.000907562,0.004648474,0.00007985022],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978793,0.00003293869,0.000006068694,0.0001527437,0.001127981,0.0003137819,0.0000117408,0.00002086565,0.0004545663],"genre_scores_gemma":[0.9948242,0.000001094764,0.00004745205,0.0001472877,0.00001069529,0.00001254747,0.0001384615,0.000007742792,0.004810572],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7592409,"threshold_uncertainty_score":0.9969388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03700885043254695,"score_gpt":0.3196313142823193,"score_spread":0.2826224638497724,"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."}}