{"id":"W3146463024","doi":"10.1101/2021.04.02.438187","title":"Stratification of Risk of Progression to Colectomy in Ulcerative Colitis using Measured and Predicted Gene Expression","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Inflammatory Bowel Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; Children's Hospital of Eastern Ontario","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; Leona M. and Harry B. Helmsley Charitable Trust","keywords":"Ulcerative colitis; Genome-wide association study; Colectomy; Disease; Transcriptome; Medicine; Population; Gene expression profiling; Biobank; Internal medicine; Gene expression; Bioinformatics; Oncology; Gene; Biology; Genetics; Genotype; Single-nucleotide polymorphism","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":[0.0007778195,0.0002268975,0.0003992979,0.0004440969,0.0001114634,0.0008015171,0.0001219772,0.0002235913,0.002241324],"category_scores_gemma":[0.001670584,0.0001130492,0.0003673664,0.00057912,0.0001689383,0.0001791965,0.000339627,0.0004547999,0.0004806895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001586799,"about_ca_system_score_gemma":0.0002034611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009184818,"about_ca_topic_score_gemma":0.001274806,"domain_scores_codex":[0.9997085,0.0001047569,0.00001512786,0.0001036678,0.00004373658,0.00002421838],"domain_scores_gemma":[0.999424,0.0002703939,0.0001383581,0.00008823165,0.00003028506,0.00004884292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002065663,0.00007817325,0.9293023,0.0001827314,0.0008322877,0.0001760078,0.00006842279,0.006817863,0.01896777,0.0006840533,0.006111513,0.03471325],"study_design_scores_gemma":[0.0001320321,0.0002068336,0.9631269,0.00006572301,0.0004120161,0.0004473834,0.0001184067,0.01903936,0.006554182,0.004495298,0.005368643,0.00003326211],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9720004,0.001553163,0.006615538,0.0008221326,0.00005740541,0.00001702957,0.01686045,0.0001521228,0.001921821],"genre_scores_gemma":[0.9819172,0.0005290308,0.004026067,0.0001814827,0.00004948424,0.00002548914,0.01244929,0.00003663345,0.0007852845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002241324,"threshold_uncertainty_score":0.007497966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01113733226115513,"score_gpt":0.2400932374373183,"score_spread":0.2289559051761632,"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."}}