How will the COVID-19 Pandemic Change Dermatology Services over the next Five Years?
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The advent of COVID-19 has radically transformed conventional affairs in numerous facets of life across the world. The reverberation of such alterations has presented a myriad of challenges to dermatology services worldwide. Dermatology services have attempted to suppress the dissemination of COVID-19 by reducing in-person consultations and non-essential procedures. Teledermatology has been utilised to mediate patient triage to ensure patients are promptly referred to the appropriate service. Additionally, a plethora of cutaneous sequelae of COVID-19 have been identified and exhibit considerable heterogeneity in skin inflammatory findings compared to viral infections with known cutaneous effects. There has been a longstanding demand to efficiently capitalise on limited expertise allied to dermatology services. The COVID-19 pandemic has illuminated the urgent need to extend the dermatological competence of several primary care clinicians. Ultimately, the developing COVID-19 pandemic may provide the impetus to revolutionise dermatology services in the next five years to transcend current challenges in clinical practice.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it