{"id":"W4412406214","doi":"10.1371/journal.pone.0315484","title":"Urinary prostaglandin metabolites as biomarkers for human labour: Insights into future predictors","year":2025,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Preterm Birth and Chorioamnionitis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Canadian Institutes of Health Research","keywords":"Eicosanoid; Preterm labour; Prostaglandin; Metabolite; Arachidonic acid; Urinary system; Urine; Lipidomics; Medicine; Internal medicine; Endocrinology; Isoprostane; Pregnancy; Physiology; Obstetrics; Chemistry; Biology; Bioinformatics; Gestation; Biochemistry; Lipid peroxidation; Oxidative stress; Genetics","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":[0.00007998222,0.0001795578,0.0003649593,0.0002248359,0.000195928,0.00003005755,0.0001194206,0.000151619,0.00008551679],"category_scores_gemma":[0.000119202,0.0001502983,0.0001013267,0.0002692927,0.00007177064,0.00009689845,0.00005568303,0.0001609534,0.00001275265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005748193,"about_ca_system_score_gemma":0.0001201435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003352171,"about_ca_topic_score_gemma":0.00001487332,"domain_scores_codex":[0.9989088,0.00003305758,0.000242774,0.0003013229,0.0002486109,0.0002654755],"domain_scores_gemma":[0.9992533,0.00005126947,0.00005941333,0.000317873,0.0001490981,0.0001690205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002801364,0.006036852,0.5099884,0.006877102,0.006596587,0.0001387319,0.00353682,6.568454e-8,0.4031445,0.04858509,0.007471889,0.004822589],"study_design_scores_gemma":[0.01093282,0.003444868,0.3241324,0.002317359,0.002564861,0.00001548644,0.0009987715,0.00006587588,0.4918213,0.02100755,0.1420163,0.0006823211],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863601,0.005864257,0.0000157825,0.001951145,0.0001777716,0.001120442,0.0000382591,0.0001737173,0.004298563],"genre_scores_gemma":[0.9912643,0.0004583428,0.001109288,0.0007589457,0.0006579511,0.0002717832,0.0002729916,0.00002476417,0.005181619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.185856,"threshold_uncertainty_score":0.6128985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01539919473889054,"score_gpt":0.2568795000869749,"score_spread":0.2414803053480844,"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."}}