{"id":"W2978723484","doi":"10.14309/00000434-201310001-01687","title":"Objectifying the Crohnʼs Disease Activity Index (CDAI): Can We Teach an Old Score New Tricks?: Presidential Poster","year":2013,"lang":"en","type":"article","venue":"The American Journal of Gastroenterology","topic":"Inflammatory Bowel Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Medicine; Calprotectin; Biomarker; Internal medicine; Disease; Logistic regression; Univariate; Body mass index; Poisson regression; Univariate analysis; Multivariate analysis; Multivariate statistics; Inflammatory bowel disease; Machine learning; Population","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":[0.01357124,0.0008481866,0.0007203484,0.0005419215,0.0006689159,0.002806738,0.0007058857,0.001562447,0.01254603],"category_scores_gemma":[0.03063533,0.0001828283,0.0005511086,0.0004982354,0.00117551,0.001491191,0.001215499,0.003643505,0.003337917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000565294,"about_ca_system_score_gemma":0.0009129507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007487479,"about_ca_topic_score_gemma":0.0007967785,"domain_scores_codex":[0.9971232,0.001790487,0.0001887642,0.0002600567,0.0004826225,0.0001549601],"domain_scores_gemma":[0.9884074,0.005341995,0.001554133,0.0005765672,0.002851815,0.001268115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001283237,0.0005319876,0.06653868,0.0008842251,0.0002814877,0.000146253,0.0007985611,0.0003962812,0.0007742054,0.001661752,0.5592549,0.3674485],"study_design_scores_gemma":[0.000665368,0.00575775,0.264228,0.005040429,0.0007649511,0.002020569,0.002928771,0.00523878,0.002720851,0.01135078,0.6990256,0.000258158],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1039195,0.09713542,0.0108002,0.6513677,0.1131129,0.0003244797,0.002003748,0.00059713,0.0207389],"genre_scores_gemma":[0.6221579,0.06523789,0.02203279,0.09640553,0.1455751,0.0007890498,0.002659569,0.0004498175,0.04469238],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01357124,"threshold_uncertainty_score":0.07177246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008730667972208483,"score_gpt":0.2397614400097055,"score_spread":0.2310307720374971,"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."}}