<i>Clinical Chemistry and Laboratory Medicine</i>: Happy 60th Anniversary
Bibliographic record
Abstract
On behalf of the IFCC organization, it is my great pleasure to congratulate the editors and publishers of Clinical Chemistry and Laboratory Medicine (CCLM) on 60 years of publishing cutting-edge research in all areas of laboratory medicine.Information disseminated by CCLM to a global audience has surely transformed the field of clinical chemistry and laboratory medicine.Specifically, CCLM has taken the lead in publishing guidelines to support clinical laboratories around the world in applying up-to-date evidence in a way that improves clinical practice.This became especially important in the context of the COVID-19 pandemic, particularly in early months when little was known about the SARS-CoV-2 virus or COVID-19 disease.IFCC recognized this critical gap, and in turn, produced several guidelines on molecular, serological, and biochemical monitoring of COVID-19, as well as biosafety measuring for preventing COVID-19 in clinical laboratories.
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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 | 0.016 | 0.135 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.006 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.007 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.007 | 0.011 |
| 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; both teacher heads agree on what is shown here.
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".