{"id":"W4316077523","doi":"10.14309/01.ajg.0000859972.65795.16","title":"S833 Gradient Boosted Decision Tree to Model Ustekinumab Trough Levels in Crohn’s Disease","year":2022,"lang":"en","type":"article","venue":"The American Journal of Gastroenterology","topic":"Inflammatory Bowel Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Univariate analysis; Internal medicine; Univariate; Cohort; Infliximab; Faecal calprotectin; Disease; Multivariate analysis; Multivariate statistics; Calprotectin; Inflammatory bowel disease; Machine learning","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002383146,0.0008680476,0.001084081,0.000865064,0.0003391006,0.0007865322,0.0007952596,0.0009340646,0.002307166],"category_scores_gemma":[0.003199886,0.0003963611,0.001053025,0.0005208163,0.0002389252,0.0003928259,0.0004887678,0.00114373,0.0005440284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000688065,"about_ca_system_score_gemma":0.001237973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01248301,"about_ca_topic_score_gemma":0.007062441,"domain_scores_codex":[0.9995123,0.0002562629,0.00002816698,0.00007230826,0.00006153946,0.00006954758],"domain_scores_gemma":[0.9985602,0.001003484,0.0001030861,0.00003203208,0.000224413,0.00007682571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003338677,0.0001331019,0.009896176,0.00006006258,0.000108121,0.0001010686,0.00003173775,0.9547418,0.0004693581,0.0006237325,0.001246512,0.03225442],"study_design_scores_gemma":[0.000007425961,0.00003335243,0.0003231511,0.000005853682,0.000009096386,0.000007737242,0.000002559597,0.9990652,0.00005301088,0.0004122484,0.00007819206,0.000002234603],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5138704,0.003071112,0.4744133,0.001743238,0.0002377081,0.0002587625,0.001577087,0.0013329,0.0034955],"genre_scores_gemma":[0.9605979,0.0003480958,0.03588004,0.0001822844,0.00006502283,0.0001437206,0.0009467686,0.00003892664,0.001797309],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01248301,"threshold_uncertainty_score":0.02482069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01092185196384325,"score_gpt":0.251481262380431,"score_spread":0.2405594104165878,"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."}}