The diagnostic process of Kyrle’s disease in a 65-year-oldpatient
Bibliographic record
Abstract
ENWEndNote BIBJabRef, Mendeley RISPapers, Reference Manager, RefWorks, Zotero AMA Leonik S, Smoczok M, Kulig K, Bergler-Czop B, MizioÅek B. The diagnostic process of Kyrleâs disease in a 65-year-old patient. PostÄpy Dermatologii i Alergologii/Advances in Dermatology and Allergology. 2021. doi:10.5114/ada.2021.108565. APA Leonik, S., Smoczok, M., Kulig, K., Bergler-Czop, B., & MizioÅek, B. (2021). The diagnostic process of Kyrleâs disease in a 65-year-old patient. PostÄpy Dermatologii i Alergologii/Advances in Dermatology and Allergology. https://doi.org/10.5114/ada.2021.108565 Chicago Leonik, Szymon, MichaÅ Smoczok, Katarzyna Kulig, Beata Bergler-Czop, and Bartosz MizioÅek. 2021. "The diagnostic process of Kyrleâs disease in a 65-year-old patient". PostÄpy Dermatologii i Alergologii/Advances in Dermatology and Allergology. doi:10.5114/ada.2021.108565. Harvard Leonik, S., Smoczok, M., Kulig, K., Bergler-Czop, B., and MizioÅek, B. (2021). The diagnostic process of Kyrleâs disease in a 65-year-old patient. PostÄpy Dermatologii i Alergologii/Advances in Dermatology and Allergology. https://doi.org/10.5114/ada.2021.108565 MLA Leonik, Szymon et al. "The diagnostic process of Kyrleâs disease in a 65-year-old patient." PostÄpy Dermatologii i Alergologii/Advances in Dermatology and Allergology, 2021. doi:10.5114/ada.2021.108565. Vancouver Leonik S, Smoczok M, Kulig K, Bergler-Czop B, MizioÅek B. The diagnostic process of Kyrleâs disease in a 65-year-old patient. PostÄpy Dermatologii i Alergologii/Advances in Dermatology and Allergology. 2021. doi:10.5114/ada.2021.108565.
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How this classification was reachedexpand
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".