{"id":"W3166159130","doi":"10.3390/jpm11060546","title":"The Female Reproductive Tract Microbiome—Implications for Gynecologic Cancers and Personalized Medicine","year":2021,"lang":"en","type":"review","venue":"Journal of Personalized Medicine","topic":"Reproductive tract infections research","field":"Immunology and Microbiology","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Microbiome; Female Reproductive Tract; Reproductive tract; Assisted reproductive technology; Medicine; Reproductive medicine; Biology; Physiology; Bioinformatics; Gynecology; Infertility; Pregnancy; Internal medicine; Uterus; 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":["metaresearch","metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.005400928,0.0006153193,0.003449374,0.0006418719,0.0009104729,0.00003134348,0.0006518399,0.0005358079,0.0008428522],"category_scores_gemma":[0.011284,0.0003266117,0.0007761775,0.0008758223,0.004197288,0.0001337064,0.00009467671,0.001692179,0.00001485503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008793442,"about_ca_system_score_gemma":0.001843281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007843507,"about_ca_topic_score_gemma":0.00001315823,"domain_scores_codex":[0.9952038,0.001295168,0.001763759,0.0008942535,0.0001888905,0.0006541348],"domain_scores_gemma":[0.988867,0.006142695,0.002139514,0.0008078266,0.001912818,0.0001301884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004064886,0.0003146217,0.00005393633,0.00386174,0.005515403,0.00004188331,0.00253174,4.96006e-7,0.006158185,0.003591155,0.1058551,0.8716693],"study_design_scores_gemma":[0.003131735,0.001350037,0.0001010684,0.005397659,0.002917475,0.007666095,0.002178667,7.960423e-8,0.00002669022,0.0002597441,0.9766925,0.000278249],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001263872,0.9818473,0.0001550153,0.0132179,0.002354741,0.00170073,0.0001051219,0.00002169322,0.0004710919],"genre_scores_gemma":[0.00006693164,0.9852263,0.0001718378,0.0001301182,0.001623568,0.0002906635,0.0001980495,0.00007080282,0.01222178],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8713911,"threshold_uncertainty_score":0.9999186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1196261621348617,"score_gpt":0.4341528054803255,"score_spread":0.3145266433454638,"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."}}