Self-Reported Hand Eczema: Assessment of Prevalence and Risk Factors in Health Care Versus Non–Health Care Workers During the COVID-19 Pandemic
Bibliographic record
Abstract
DermatitisVol. 32, No. 1 LettersSelf-Reported Hand Eczema: Assessment of Prevalence and Risk Factors in Health Care Versus Non–Health Care Workers During the COVID-19 PandemicMohammad Reza Pourani, Mohammad Shahidi Dadras, Hamideh Moravvej, Atefeh Talebi, Hassan Vahidnezhad, Reza M. Robati, Sahar Dadkhahfar, and Fahimeh AbdollahimajdMohammad Reza PouraniSkin Research Center, Shahid Beheshti University of Medical Sciences, Tehran, IranSearch for more papers by this author, Mohammad Shahidi DadrasSkin Research Center, Shahid Beheshti University of Medical Sciences, Tehran, IranSearch for more papers by this author, Hamideh MoravvejSkin Research Center, Shahid Beheshti University of Medical Sciences, Tehran, IranSearch for more papers by this author, Atefeh TalebiColorectal Research Center, Rasool Akram Hospital, Iran University of Medical Sciences, Tehran, IranSearch for more papers by this author, Hassan VahidnezhadDepartment of Dermatology and Cutaneous Biology, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA;Jefferson Institute of Molecular Medicine, Thomas Jefferson University, Philadelphia, PASearch for more papers by this author, Reza M. RobatiSkin Research Center, Shahid Beheshti University of Medical Sciences, Tehran, IranDepartment of Dermatology, Loghman Hakim Hospital, Shahid Beheshti University of Medical Sciences, Tehran, IranSearch for more papers by this author, Sahar DadkhahfarSkin Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran Search for more papers by this authorEmail the corresponding author at [email protected], and Fahimeh AbdollahimajdSkin Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran , Clinical Research Development Unit, Shohada-e Tajrish Hospital, Shahid Beheshti University of Medical Sciences, Tehran, IranSearch for more papers by this authorEmail the corresponding author at [email protected]Email the corresponding author at [email protected]Published Online:1 Feb 2021AboutSectionsView articleView Full TextPDF/EPUB Permissions & CitationsPermissionsDownload CitationsTrack CitationsAdd to favorites Back To Publication ShareShare onFacebookXLinked InRedditEmail View articleFiguresReferencesRelatedDetails Volume 32Issue 1Feb 2021 Information© 2020 American Contact Dermatitis Society. All Rights Reserved.To cite this article:Mohammad Reza Pourani, Mohammad Shahidi Dadras, Hamideh Moravvej, Atefeh Talebi, Hassan Vahidnezhad, Reza M. Robati, Sahar Dadkhahfar, and Fahimeh Abdollahimajd.Self-Reported Hand Eczema: Assessment of Prevalence and Risk Factors in Health Care Versus Non–Health Care Workers During the COVID-19 Pandemic.Dermatitis.Feb 2021.e19-e21.http://doi.org/10.1097/DER.0000000000000688Published in Volume: 32 Issue 1: February 1, 2021PDF download
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".