{"id":"W4205167667","doi":"10.1101/2022.01.19.476882","title":"Extended bacterial diversity of the urinary microbiome of reproductive-age healthy European women captured by culturomics and long-read amplicon sequencing","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Urinary Tract Infections Management","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Directorate for Biological Sciences; Rede de Química e Tecnologia; Joint Programming Initiative on Antimicrobial Resistance; Universidade do Porto; Applied Molecular Biosciences Unit; Ministério da Ciência, Tecnologia e Ensino Superior; Fundação para a Ciência e a Tecnologia; International Development Research Centre","keywords":"Biology; Microbiome; Lactobacillus crispatus; Lactobacillus; Amplicon; Gardnerella vaginalis; Zoology; Metagenomics; Microbiology; Genetics; Polymerase chain reaction; Bacteria; Gene; Bacterial vaginosis","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00115515,0.0004485065,0.0007514845,0.0002650859,0.000343168,0.00003831428,0.0005050115,0.0001764397,0.0001184912],"category_scores_gemma":[0.0001512216,0.0004226491,0.0001712249,0.0004955778,0.000342323,0.0001125223,0.004553697,0.0008572034,0.000002658809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001249123,"about_ca_system_score_gemma":0.0003562269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002546368,"about_ca_topic_score_gemma":0.000001367053,"domain_scores_codex":[0.9970238,0.0004622275,0.0006542122,0.001061971,0.0003731709,0.0004246613],"domain_scores_gemma":[0.9967518,0.00003533103,0.0009153718,0.001832838,0.0002749296,0.0001897255],"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":[0.0005559516,0.001586033,0.01625897,0.001759464,0.0005592657,0.0001621916,0.0003592825,0.00002272777,0.9783183,0.00004735921,0.0003679319,0.000002472868],"study_design_scores_gemma":[0.00226145,0.001627335,0.8838804,0.0004833619,0.0006093636,0.000001559926,0.0001103134,0.000007787082,0.1038404,0.000003090684,0.006465066,0.0007098989],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959749,0.0004712957,0.00005467903,0.0002679586,0.001042075,0.001462081,0.0005553005,0.0001166947,0.00005500648],"genre_scores_gemma":[0.9986843,0.0002592547,0.000506222,0.0001394664,0.0002100337,0.00005698523,0.000003737298,0.00008858235,0.00005141897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.874478,"threshold_uncertainty_score":0.9998226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01849130047198533,"score_gpt":0.2246503032513796,"score_spread":0.2061590027793943,"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."}}