{"id":"W2810934340","doi":"10.1186/s40168-018-0502-8","title":"Increased richness and diversity of the vaginal microbiota and spontaneous preterm birth","year":2018,"lang":"en","type":"article","venue":"Microbiome","topic":"Reproductive tract infections research","field":"Immunology and Microbiology","cited_by":212,"is_retracted":false,"has_abstract":true,"ca_institutions":"B.C. Women's Hospital & Health Centre; University of Toronto; Women's Health Research Institute; University of British Columbia; Lunenfeld-Tanenbaum Research Institute; University of Saskatchewan","funders":"Canadian Institutes of Health Research; Genome British Columbia; University of Saskatchewan","keywords":"Gardnerella vaginalis; Lactobacillus crispatus; Lactobacillus gasseri; Biology; Lactobacillus; Bacterial vaginosis; Pyrosequencing; Mollicutes; Microbiome; Vaginal flora; Physiology; Microbiology; Bioinformatics; Mycoplasma; Bacteria; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000429068,0.0001858479,0.0002699961,0.0006915834,0.000317698,0.0005363837,0.0002204899,0.0003178877,0.001740176],"category_scores_gemma":[0.002075118,0.0001440719,0.0001805673,0.0005544479,0.0002917865,0.0002105513,0.0006083855,0.0003703361,0.0001939937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002222813,"about_ca_system_score_gemma":0.0002520216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001069486,"about_ca_topic_score_gemma":0.0008490611,"domain_scores_codex":[0.999616,0.00009133185,0.00004411995,0.00007863446,0.00009806602,0.00007180639],"domain_scores_gemma":[0.9986895,0.0002479878,0.000618408,0.00005849285,0.0001870347,0.0001986618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000773171,0.00006301405,0.9609762,0.0002158191,0.00009316239,0.0004046055,0.0004977874,0.00007985956,0.02531105,0.00004305635,0.0001117691,0.01143052],"study_design_scores_gemma":[0.000003436521,0.0002096492,0.9954774,0.0000367364,0.00002586294,0.001616584,0.0003775241,0.0001177121,0.001786901,0.00009345848,0.0002502687,0.00000444333],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980308,0.001004642,0.0002379807,0.00004971256,0.000006815353,0.000008390161,0.0002402121,0.000004750701,0.0004167126],"genre_scores_gemma":[0.9989967,0.0003335652,0.000333479,0.00001385274,0.000008502822,0.000008533252,0.0001927786,0.00000172526,0.0001109996],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001740176,"threshold_uncertainty_score":0.005821526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01070258879160962,"score_gpt":0.2369795937683533,"score_spread":0.2262770049767436,"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."}}