{"id":"W2803392435","doi":"10.1111/aji.12979","title":"Metabolomics as a clinical testing method for the diagnosis of vaginal dysbiosis","year":2018,"lang":"en","type":"article","venue":"American Journal of Reproductive Immunology","topic":"Reproductive tract infections research","field":"Immunology and Microbiology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lawson Health Research Institute; Western University","funders":"","keywords":"Bacterial vaginosis; Dysbiosis; Metabolomics; False positive paradox; Vaginal flora; Medicine; Antibiotics; Vaginal infections; Intensive care medicine; Bioinformatics; Biology; Microbiome; Obstetrics; Microbiology; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00727759,0.001317424,0.001359992,0.003147601,0.0007340572,0.00262696,0.001142915,0.002515364,0.003346659],"category_scores_gemma":[0.006631654,0.0004829733,0.0006953666,0.001960551,0.001663056,0.00161071,0.001250685,0.002206333,0.002025838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008497604,"about_ca_system_score_gemma":0.001422858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001371322,"about_ca_topic_score_gemma":0.003023636,"domain_scores_codex":[0.9941559,0.002917904,0.0003350832,0.0006511236,0.001704267,0.0002358155],"domain_scores_gemma":[0.9952124,0.001837249,0.0007355159,0.0003395014,0.001428877,0.0004463035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003099121,0.0008788453,0.2030107,0.002825252,0.000479247,0.003120736,0.0005153634,0.001428028,0.2609349,0.01039997,0.0244491,0.4888588],"study_design_scores_gemma":[0.0004780541,0.01075673,0.3159774,0.004834292,0.001626976,0.02715304,0.002615111,0.03547072,0.3587768,0.03745111,0.2040173,0.000842507],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2024809,0.2469705,0.3867394,0.07967702,0.01075559,0.00202645,0.005030761,0.004772178,0.06154732],"genre_scores_gemma":[0.5610063,0.05030631,0.3598417,0.01531421,0.003211129,0.0006999809,0.001008975,0.0002771057,0.008334285],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00727759,"threshold_uncertainty_score":0.03848803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06250739978802065,"score_gpt":0.4182251189345811,"score_spread":0.3557177191465605,"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."}}