{"id":"W1986876160","doi":"10.1021/ac8005236","title":"Urinary Metabolic Profiles of Inflammatory Bowel Disease in Interleukin-10 Gene-Deficient Mice","year":2008,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Alberta Heritage Foundation for Medical Research","keywords":"Metabolite; Metabolomics; Urinary system; Urine; Inflammatory bowel disease; Chemistry; Internal medicine; Endocrinology; Disease; Biochemistry; Biology; Medicine; Chromatography","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":[0.0001284359,0.0002071366,0.0002945765,0.00005468165,0.00004769075,0.000006007361,0.000245508,0.0001157699,0.0001249426],"category_scores_gemma":[0.0001704485,0.0001950553,0.0001832409,0.0001537742,0.0002559798,0.000003921743,0.000240816,0.0001298145,0.000009763933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001727311,"about_ca_system_score_gemma":0.0001266172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009531323,"about_ca_topic_score_gemma":0.000001662568,"domain_scores_codex":[0.9986718,0.00002511692,0.0003873725,0.0004191149,0.000190244,0.0003063696],"domain_scores_gemma":[0.9992298,0.00001614773,0.0001002469,0.0004018719,0.00008928501,0.000162597],"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":[0.0003062072,0.0004874887,0.08812711,0.0001680376,0.0001619245,0.0001036511,0.00003863459,0.00008028647,0.9088919,0.000211147,0.001378781,0.00004484528],"study_design_scores_gemma":[0.0007649088,0.00008043092,0.07683857,0.00002363743,0.0000868771,0.00003503833,0.00006650286,0.0005295477,0.9070725,0.00008126102,0.01403795,0.0003827263],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921654,0.00424893,0.00003802395,0.00007177157,0.00003230259,0.00009063254,0.00003658562,0.000009294868,0.00330705],"genre_scores_gemma":[0.9958152,0.0009942293,0.0001789999,0.000054514,0.0001386412,0.00002235974,0.00007319745,0.00001916118,0.002703658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01265917,"threshold_uncertainty_score":0.7954125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01004555599159782,"score_gpt":0.2387153901768607,"score_spread":0.2286698341852629,"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."}}