{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001719517,0.0003417336,0.0007897558,0.0002250242,0.000167137,0.00009185912,0.00008510272,0.0002512543,0.00003515275],"category_scores_gemma":[0.00006627657,0.0002076807,0.0001296298,0.0003477895,0.0003236533,0.0001924781,0.0000542803,0.000489872,0.000002265263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006565102,"about_ca_system_score_gemma":0.0002237306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000166501,"about_ca_topic_score_gemma":0.000004080408,"domain_scores_codex":[0.9980471,0.0001336841,0.0007317245,0.0003594168,0.000390317,0.0003377283],"domain_scores_gemma":[0.9983117,0.00008978222,0.000546997,0.0001842018,0.0003987147,0.0004686321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001638989,0.0003329108,0.9775527,0.0002712936,0.001164192,0.00003882801,0.0003388048,0.00001026465,0.01342678,0.000004461604,0.00009778704,0.005123036],"study_design_scores_gemma":[0.01684451,0.001486863,0.965901,0.01108847,0.001584445,0.001639743,0.0006220585,0.00001800314,0.000464018,0.00001564916,0.00002537682,0.000309821],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937764,0.004972394,0.00005983961,0.0004714829,0.0002082352,0.0003106912,0.00001773017,0.0000285308,0.0001547283],"genre_scores_gemma":[0.996498,0.002858152,0.0003184966,0.00007219495,0.00009638416,0.000003117241,0.00004175807,0.00005366589,0.00005821746],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01520552,"threshold_uncertainty_score":0.8468974,"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."}}