{"id":"W2947879944","doi":"10.1186/s40168-018-0604-3","title":"Host immunoglobulin G selectively identifies pathobionts in pediatric inflammatory bowel diseases","year":2019,"lang":"en","type":"article","venue":"Microbiome","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":234,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Canadian Institutes of Health Research; Institute of Nutrition, Metabolism and Diabetes; Alberta Innovates; Crohn's and Colitis Canada; University of Alberta; Women and Children's Health Research Institute; Canadian Association of Gastroenterology; Crohn's and Colitis Foundation; Alberta Innovates - Health Solutions","keywords":"Inflammatory bowel disease; Pathogenesis; Immunology; Biology; Ulcerative colitis; Immunoglobulin G; Antibody; Microbiology; Disease; Medicine; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001447418,0.0002103097,0.0001929238,0.0001790534,0.00006336185,0.00004186769,0.0002511845,0.0001911119,0.00007527733],"category_scores_gemma":[0.00001907046,0.0002164026,0.0001010651,0.0002268693,0.00004509935,0.00001019931,0.0001596901,0.0001267588,0.0004814453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000795762,"about_ca_system_score_gemma":0.0002417566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004963533,"about_ca_topic_score_gemma":0.00007974548,"domain_scores_codex":[0.9986561,0.00007421782,0.000308041,0.000470793,0.00006718934,0.0004236547],"domain_scores_gemma":[0.9993869,0.000008875616,0.0001051688,0.0003514242,0.00006961819,0.00007801119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00006094925,0.00006884598,0.1887592,0.0001024781,0.00001193826,0.000005863716,0.00006506411,0.000004108294,0.8085577,0.000004862989,0.002311807,0.00004719261],"study_design_scores_gemma":[0.001070923,0.0001250002,0.9014367,0.00002645161,0.00001614426,0.0000214292,0.00005876987,0.000002034894,0.08798746,0.00001181466,0.008908651,0.0003346006],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955766,0.003279906,0.00001216578,0.0000560776,0.0003639511,0.0003817899,0.0001205466,0.00002220959,0.0001868107],"genre_scores_gemma":[0.9967443,0.0005857962,0.00007198232,0.0002205484,0.0001677398,0.00001504043,0.0002724926,0.00003179166,0.001890347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7205702,"threshold_uncertainty_score":0.8824643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003202999221478423,"score_gpt":0.2160739504578891,"score_spread":0.2128709512364106,"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."}}