Diurnal Variation in Distal Femoral Cartilage Thickness
Bibliographic record
Abstract
To the Editor: We read with great interest the article “Cartilage Thickness of the Knee Joint in Juvenile Idiopathic Arthritis: Comparative Assessment by Ultrasonography and Magnetic Resonance Imaging,” by Pradsgaard, et al 1. The authors investigated the distal femoral cartilage thickness by using magnetic resonance imaging (MRI) and ultrasonography (US) in children with juvenile idiopathic arthritis. They showed the correlation between sonographic and MR measurements of cartilage thickness and reported that the cartilage thickness in medial femoral condyle was lower than that in lateral femoral condyle. Measurement of distal femoral cartilage thickness using different imaging methods including US is … Address correspondence to Dr. E. Kilic, Erciyes Üniversitesi Tıp Fakültesi, Gevher Nesibe Hastanesi, Fiziksel Tıp ve Rehabilitasyon AD, Romatoloji BD, Kayseri, 38039, Turkey. E-mail: ekilic.md{at}hotmail.com
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.004 |
| 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".