Rescaling Creatinine Centiles in Neonates Treated with Therapeutic Hypothermia for Neonatal Encephalopathy
Bibliographic record
Abstract
sponsorship: The collaboration between Elif Keles and Karel Allegaert is supported by the European Society of Paediatric Research (ESPR) mentoring program. Pia Wintermark received research grant funding from the FRQS Clinical Research Scholar Career Award Senior and a Canadian Institutes of Health Research (CIHR) Project Grant. Anne Smits is supported by the Clinical Research and Education Council, University Hospitals Leuven. The clinical research of Anne Smits, Pieter Annaert, and Karel Allegaert is supported by the I-PREDICT (FWO senior research project, fundamental research, GOD0520N) grant. Malcolm R Battin is supported by a HRC Clinical Practitioner Fellowship. (European Society of Paediatric Research (ESPR) mentoring program, FRQS Clinical Research Scholar Career Award, Canadian Institutes of Health Research (CIHR) Project Grant., Clinical Research and Education Council,University Hospitals Leuven, I-PREDICT (FWO senior research project)|GOD0520N, HRC Clinical Practitioner Fellowship)
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 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".