{"id":"W4405670959","doi":"10.1093/crocol/otae073","title":"Impact of Fatigue on Work Productivity, Activity Impairment, and Healthcare Resource Utilization in Inflammatory Bowel Disease","year":2024,"lang":"en","type":"article","venue":"Crohn s & Colitis 360","topic":"Inflammatory Bowel Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Janssen Pharmaceuticals; National Center for Advancing Translational Sciences; Chugai Pharmaceutical; Bristol-Myers Squibb Canada; Genentech; LEO Pharma; Australian Renewable Energy Agency; Bristol-Myers Squibb; Eli Lilly and Company; Ortho Dermatologics; Amgen; Boehringer Ingelheim; AbbVie; Novartis; Pfizer","keywords":"Work productivity; Inflammatory bowel disease; Productivity; Disease; Work (physics); Health care; Resource (disambiguation); Medicine; Business; Physical therapy; Intensive care medicine; Internal medicine; Engineering; Economics; Computer science; Economic growth; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002438678,0.0002172604,0.0001513574,0.0001344455,0.00006308808,0.00006055862,0.0001081418,0.0001220964,0.0000152947],"category_scores_gemma":[0.0001331886,0.0002171845,0.0001191252,0.000167099,0.0001466889,0.00001883732,0.0001164087,0.0001452277,0.000003926881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001174159,"about_ca_system_score_gemma":0.0004752256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005760869,"about_ca_topic_score_gemma":0.000111799,"domain_scores_codex":[0.998526,0.0002154418,0.0002308074,0.000533486,0.0001768464,0.0003174373],"domain_scores_gemma":[0.9991348,0.00002120661,0.00007642183,0.0004544476,0.00006385546,0.0002492586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00642995,0.0004932659,0.9659573,0.001549829,0.0001181737,0.0006881547,0.0004741826,0.0006168054,0.004967685,0.0006774891,0.0028332,0.015194],"study_design_scores_gemma":[0.0003583329,0.0001979009,0.9965462,0.0002701164,0.00001620457,0.000003676775,0.00001899032,0.0001412507,0.001187459,0.0001298697,0.0009311336,0.0001988596],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975149,0.001142482,0.0000292046,0.0001677687,0.00009358198,0.0006474988,0.0001733486,0.00003497179,0.0001962263],"genre_scores_gemma":[0.9993075,0.00008022614,0.00000834127,0.00004080863,0.0001670151,0.00008208131,0.0001035978,0.00003835822,0.0001720766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03058894,"threshold_uncertainty_score":0.8856527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02074489937813093,"score_gpt":0.3042277678905848,"score_spread":0.2834828685124539,"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."}}