{"id":"W3183710246","doi":"10.1177/23971983211032808","title":"Fecal microbiome differs between patients with systemic sclerosis with and without small intestinal bacterial overgrowth","year":2021,"lang":"en","type":"article","venue":"Journal of Scleroderma and Related Disorders","topic":"Systemic Sclerosis and Related Diseases","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Small intestinal bacterial overgrowth; Scleroderma (fungus); Microbiome; Medicine; Gastroenterology; Feces; Bacterial overgrowth; Systemic scleroderma; Diarrhea; Internal medicine; Systemic disease; Irritable bowel syndrome; Immunology; Disease; Biology; Microbiology; Bioinformatics","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":[0.0001808454,0.0003044333,0.0004077763,0.0007385915,0.0004840499,0.0005189281,0.0001055002,0.0003618649,0.002545032],"category_scores_gemma":[0.00123642,0.0001318764,0.0002377699,0.0005979571,0.0003095575,0.0003542271,0.0004185612,0.0002301894,0.0002962677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001855942,"about_ca_system_score_gemma":0.0001660451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001429209,"about_ca_topic_score_gemma":0.001710737,"domain_scores_codex":[0.9997284,0.00004789041,0.00004259685,0.00007742958,0.00004885328,0.000054877],"domain_scores_gemma":[0.9994596,0.00007632663,0.000256498,0.00002078015,0.00007359522,0.0001132427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005364333,0.00005813635,0.991839,0.00003685095,0.00005981003,0.0002815831,0.0001787932,0.00002489432,0.003278251,0.00001910619,0.0001085967,0.00357861],"study_design_scores_gemma":[0.00001263151,0.0002439737,0.9978738,0.00001534834,0.00002698614,0.001059867,0.0002993254,0.00005489935,0.000189231,0.00003041764,0.0001898182,0.00000366916],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989944,0.0003236096,0.00004190023,0.00003385514,0.000004588774,0.000005675789,0.0001412009,0.000002950914,0.0004516636],"genre_scores_gemma":[0.9994948,0.0001133143,0.00007388734,0.00003432861,0.000006415548,0.000005344756,0.0001669865,0.000001217598,0.0001036068],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002545032,"threshold_uncertainty_score":0.008513987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009724947520577589,"score_gpt":0.1957295162307225,"score_spread":0.186004568710145,"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."}}