{"id":"W3195921899","doi":"10.1289/isee.2021.p-168","title":"Associations of urinary microbiome profiles with gestational diabetes mellitus in an Oklahoma case-control study","year":2021,"lang":"en","type":"article","venue":"ISEE Conference Abstracts","topic":"Urinary Tract Infections Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Microbiome; Gestational diabetes; Biology; Odds ratio; Physiology; Relative species abundance; Case-control study; Internal medicine; Medicine; Pregnancy; Obstetrics; Ecology; Bioinformatics; Gestation; Abundance (ecology); Genetics","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":[0.0003105288,0.0001759574,0.0003640721,0.0002565501,0.00007557913,0.00004723048,0.00007529473,0.00006920407,0.0002900574],"category_scores_gemma":[0.0001125125,0.0001671965,0.00004638733,0.0003621674,0.00006864064,0.000318357,0.00002903812,0.0002250029,0.00002035966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001159671,"about_ca_system_score_gemma":0.0004065396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001353928,"about_ca_topic_score_gemma":0.0008581677,"domain_scores_codex":[0.9985187,0.0001263103,0.0004767713,0.0003424085,0.0002675105,0.000268265],"domain_scores_gemma":[0.9985602,0.0002251657,0.0002232469,0.0003591552,0.0005259375,0.0001063203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001735118,0.03247083,0.9285757,0.0001920716,0.0005989901,0.01352269,0.002001066,0.005839241,0.01371924,0.0004287783,0.00004826852,0.0024296],"study_design_scores_gemma":[0.002546568,0.002678586,0.9899279,0.0001037479,0.0002353309,0.0004212731,0.001715902,0.00007779029,0.0020386,0.00005489317,0.00003779414,0.000161653],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970648,0.00009156807,0.00003010374,0.0004056211,0.00005772185,0.0008850687,0.0001636599,0.00004796587,0.001253507],"genre_scores_gemma":[0.9986979,0.000007567536,0.0007386422,0.00007364933,0.00003624758,0.000101552,0.0001422267,0.00001917066,0.0001830782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06135215,"threshold_uncertainty_score":0.6818074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03304063920882274,"score_gpt":0.2929381648387372,"score_spread":0.2598975256299145,"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."}}