{"id":"W3084404023","doi":"10.1016/j.cell.2020.08.007","title":"Longitudinal Multi-omics Reveals Subset-Specific Mechanisms Underlying Irritable Bowel Syndrome","year":2020,"lang":"en","type":"article","venue":"Cell","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":449,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University; Canadian Institute for Advanced Research","funders":"National Institute of General Medical Sciences; Biotechnology and Biological Sciences Research Council; National Institute of Diabetes and Digestive and Kidney Diseases; Medical Research Council; Foundation for the National Institutes of Health","keywords":"Biology; Irritable bowel syndrome; Omics; Computational biology; Bioinformatics; Internal medicine","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":[0.0001194814,0.000179564,0.0001904332,0.00002296858,0.0001371807,0.0000397255,0.000224721,0.0001809397,0.00008025354],"category_scores_gemma":[0.000009956299,0.0001894615,0.00009173189,0.00008624552,0.00003410791,0.000004374495,0.0001163661,0.0001503675,0.0002060657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002347817,"about_ca_system_score_gemma":0.000064042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001234841,"about_ca_topic_score_gemma":0.000007948042,"domain_scores_codex":[0.9987962,0.00003755386,0.0002261351,0.0004715497,0.00007888934,0.0003897296],"domain_scores_gemma":[0.9993969,0.000006403552,0.00007896003,0.0002616925,0.00004500458,0.0002110459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002479443,0.00005392659,0.0003518521,0.00008628686,0.00001219093,0.00002881508,0.00006865928,0.00002247199,0.9945671,0.0001086645,0.004626783,0.00004848079],"study_design_scores_gemma":[0.003650962,0.00131517,0.03168819,0.00005754664,0.00006275169,0.0002459386,0.0006985929,0.0003788362,0.8863859,0.000401762,0.07384883,0.001265523],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9687504,0.002210726,0.02720234,0.000514549,0.0002561674,0.0003071129,0.00006047417,0.00003864583,0.0006595699],"genre_scores_gemma":[0.9886026,0.000417602,0.008621597,0.0009892136,0.00006655761,0.000007107275,0.0001830546,0.00003900467,0.001073234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1081812,"threshold_uncertainty_score":0.7726017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05746926164566123,"score_gpt":0.2717946357163971,"score_spread":0.2143253740707358,"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."}}