{"id":"W4388952231","doi":"10.1159/000535397","title":"Role of Presurgical Gut Microbial Diversity in Roux-en-Y Gastric Bypass Weight-Loss Response: A Cohort Study","year":2023,"lang":"en","type":"article","venue":"Lifestyle Genomics","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Veillonella; Gut flora; Weight loss; Gastric bypass surgery; Obesity; Biology; Physiology; Streptococcus; Population; Medicine; Internal medicine; Gastroenterology; Surgery; Gastric bypass; Immunology; Bacteria; 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":[0.0008155836,0.0003013567,0.0003222915,0.0004128194,0.0004562761,0.0006459158,0.0003020485,0.0004612364,0.001356525],"category_scores_gemma":[0.001145503,0.0002143639,0.0007828213,0.0005373094,0.0002310432,0.000377562,0.0004200061,0.000513954,0.000188489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000247731,"about_ca_system_score_gemma":0.0002958217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002880845,"about_ca_topic_score_gemma":0.003436356,"domain_scores_codex":[0.9996285,0.0000835063,0.00003335491,0.0001259226,0.00005153105,0.00007719616],"domain_scores_gemma":[0.9993457,0.00008416103,0.0002802763,0.0001047565,0.0000639564,0.0001210639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005349261,0.00006083805,0.997995,0.00001010799,0.0001209081,0.00005578365,0.00007592417,0.00001655728,0.0002754651,0.00001170542,0.00005642754,0.0007864456],"study_design_scores_gemma":[0.00000989408,0.0002024753,0.9992964,0.00000450052,0.00004394579,0.00007600621,0.0001194943,0.00006578084,0.00003347961,0.000009022986,0.0001363749,0.000002617511],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993754,0.0001795252,0.00005666137,0.00002191813,0.000006395156,0.00000830829,0.0002182228,0.00000115674,0.0001325295],"genre_scores_gemma":[0.9994501,0.00006725082,0.00005177301,0.00001809515,0.000007620034,0.00001395622,0.0002635328,0.000001555542,0.0001260818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002880845,"threshold_uncertainty_score":0.005728185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007917018273288454,"score_gpt":0.2468536037412515,"score_spread":0.238936585467963,"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."}}