{"id":"W2335639107","doi":"10.1097/mib.0000000000000340","title":"Blood-based Biomarkers Used to Predict Disease Activity in Crohnʼs Disease and Ulcerative Colitis","year":2015,"lang":"en","type":"article","venue":"Inflammatory Bowel Diseases","topic":"Inflammatory Bowel Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Golder Associates (Canada)","funders":"","keywords":"Ulcerative colitis; Medicine; Receiver operating characteristic; Inflammatory bowel disease; Internal medicine; Gastroenterology; Crohn's disease; Disease; Microarray; Area under the curve; Confidence interval; Logistic regression; Gene; Gene expression; Biology","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":[0.001013757,0.0004911419,0.0007211977,0.00171866,0.0002311994,0.000650877,0.0002152248,0.0004814177,0.0008092122],"category_scores_gemma":[0.001894305,0.0001202059,0.0002037142,0.001391549,0.0003146197,0.0002657882,0.000255183,0.0004840912,0.0002561241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002602299,"about_ca_system_score_gemma":0.0001801307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004300208,"about_ca_topic_score_gemma":0.0006739798,"domain_scores_codex":[0.999414,0.0002231213,0.00006062376,0.0001182838,0.0001374748,0.00004656117],"domain_scores_gemma":[0.9989218,0.0003645229,0.0004217654,0.00003592443,0.0001536854,0.0001023006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002738896,0.0001737698,0.9132563,0.0003054537,0.0002714376,0.0002400352,0.0001121909,0.000695152,0.02560644,0.0001392116,0.0007797237,0.05568134],"study_design_scores_gemma":[0.0001208576,0.002061676,0.9725406,0.0001182721,0.000391487,0.001337602,0.0001903868,0.003912215,0.0150749,0.0005817573,0.003634886,0.00003540488],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9750323,0.01718069,0.003902411,0.0002139225,0.00009812671,0.00008728104,0.001205671,0.00007865267,0.002200823],"genre_scores_gemma":[0.9921321,0.00166334,0.004415066,0.0001258879,0.0000877337,0.0001022271,0.001006331,0.000006764652,0.0004604824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00171866,"threshold_uncertainty_score":0.005361319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01247605164199917,"score_gpt":0.2470036569869147,"score_spread":0.2345276053449155,"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."}}