{"id":"W4362460277","doi":"10.1093/ibd/izad055","title":"Long-Term Impact of the COVID-19 Pandemic on Inflammatory Bowel Disease Healthcare Utilization: A 2-Year Nationwide Update","year":2023,"lang":"en","type":"article","venue":"Inflammatory Bowel Diseases","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Inflammatory bowel disease; Pandemic; Coronavirus disease 2019 (COVID-19); Medicine; Disease; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Term (time); Crohn's disease; Intensive care medicine; Inflammatory Bowel Diseases; Internal medicine; Virology; Outbreak; Infectious disease (medical specialty)","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":[0.002106712,0.0005604505,0.0008907176,0.003676136,0.0003620745,0.002732821,0.0005308209,0.001626345,0.006038594],"category_scores_gemma":[0.007138412,0.000458856,0.00217416,0.00709754,0.0002492485,0.002988562,0.001593326,0.002139301,0.001542674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009782987,"about_ca_system_score_gemma":0.002484392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02777094,"about_ca_topic_score_gemma":0.0556406,"domain_scores_codex":[0.998772,0.0002023276,0.0003467933,0.0001439354,0.0003933944,0.0001414873],"domain_scores_gemma":[0.9937834,0.002032067,0.00199824,0.0001457285,0.001632675,0.0004079445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000649455,0.0002481581,0.3472242,0.01345494,0.00251533,0.0004000654,0.0007149755,0.0006338755,0.0002707369,0.0008588678,0.3191143,0.313915],"study_design_scores_gemma":[0.0001240343,0.0002418455,0.7611808,0.01752376,0.002574109,0.0009023073,0.001808709,0.0005929618,0.0002587837,0.0005130006,0.2141473,0.0001324198],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.128869,0.5634888,0.001421223,0.03447241,0.005668222,0.0003825249,0.2405487,0.0004415096,0.02470751],"genre_scores_gemma":[0.2575712,0.5702679,0.003602302,0.0188336,0.006991353,0.0005921427,0.1370465,0.00014888,0.004946226],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02777094,"threshold_uncertainty_score":0.05521858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07875486839753176,"score_gpt":0.3963325327449208,"score_spread":0.317577664347389,"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."}}