{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006662205,0.0004719965,0.0008384835,0.001562503,0.0002737365,0.001269113,0.0004243455,0.001054756,0.003313366],"category_scores_gemma":[0.001387093,0.0001380027,0.0004695143,0.001179504,0.0004659365,0.001040408,0.0006934293,0.001210208,0.001050946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004884904,"about_ca_system_score_gemma":0.001361731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009020572,"about_ca_topic_score_gemma":0.001482125,"domain_scores_codex":[0.9997464,0.00007199425,0.0000259534,0.00003938486,0.00008635389,0.00002987024],"domain_scores_gemma":[0.9995022,0.0002694042,0.00006469895,0.00001217853,0.0001100981,0.00004147269],"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":[0.00005171659,0.00004137733,0.0008101386,0.01143302,0.00009635247,0.0002260543,0.0001271651,0.0002325965,0.001578382,0.006151242,0.03487692,0.9443751],"study_design_scores_gemma":[0.000008408442,0.00009295097,0.002762694,0.008324609,0.0001193856,0.001968783,0.0002285524,0.000127347,0.0005099852,0.004304651,0.9815278,0.00002479533],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001944478,0.9971711,0.0001783952,0.001182668,0.0003235218,0.000003456991,0.00002449571,0.000007296199,0.0009146436],"genre_scores_gemma":[0.001336852,0.9972887,0.0002520734,0.0003719856,0.000312529,0.000004674569,0.00002846617,0.000001301656,0.0004034399],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003313366,"threshold_uncertainty_score":0.01108432,"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."}}