{"id":"W4200577699","doi":"10.1111/apt.16730","title":"Incidence, outcomes, and impact of COVID‐19 on inflammatory bowel disease: propensity matched research network analysis","year":2021,"lang":"en","type":"article","venue":"Alimentary Pharmacology & Therapeutics","topic":"Inflammatory Bowel Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"National Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Medicine; Inflammatory bowel disease; Incidence (geometry); Population; Internal medicine; Cohort study; Retrospective cohort study; Relative risk; Propensity score matching; Coronavirus disease 2019 (COVID-19); Disease; Infectious disease (medical specialty); Confidence interval","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":[0.01622496,0.0004154476,0.0008974583,0.002762373,0.0004353873,0.001226519,0.0008605386,0.0005331254,0.002307763],"category_scores_gemma":[0.03488683,0.0004405737,0.002463571,0.004476941,0.0004369481,0.0009276457,0.001557084,0.0006410314,0.0002519168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009182233,"about_ca_system_score_gemma":0.0007980174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002970449,"about_ca_topic_score_gemma":0.002286797,"domain_scores_codex":[0.9833606,0.01027853,0.001913889,0.002380946,0.001542259,0.0005237354],"domain_scores_gemma":[0.9756939,0.006627827,0.01230949,0.003767648,0.00099139,0.0006096981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009136989,0.00003200348,0.9898654,0.0001149814,0.002959934,0.00005784767,0.0000517046,0.0007293739,0.00009962825,0.0002879753,0.0004065528,0.004481031],"study_design_scores_gemma":[0.0002461683,0.0005451827,0.9802477,0.0001379665,0.002938326,0.0005834302,0.0001693706,0.01154872,0.0002422608,0.001258996,0.002047197,0.00003476371],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9713739,0.003399754,0.01750486,0.000340471,0.00006472336,0.0006578779,0.004511934,0.00005201451,0.00209454],"genre_scores_gemma":[0.9949764,0.0004495481,0.002197957,0.00004841465,0.00002362048,0.0002553387,0.001844933,0.00001219415,0.0001917251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01622496,"threshold_uncertainty_score":0.08580685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04273577737314323,"score_gpt":0.379994716948264,"score_spread":0.3372589395751208,"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."}}