Pediatric Surgeons and Anesthesiologists Expand the Dialogue on the Neurotoxicity Question, Rationale for Early and Delayed Surgeries, and Practice Changes While Awaiting Definitive Evidence
Bibliographic record
Abstract
The Pediatric Anesthesia NeuroDevelopment Assessment team at Columbia University Medical Center Department of Anesthesiology convened its fourth biennial Symposium to address unresolved issues concerning potential neurotoxic effects of anesthetic agents and sedatives on young children and to assess study findings to date. Dialogue initiated at the third Symposium was continued between anesthesiologists, researchers, and a panel of expert pediatric surgeons representing general surgery and dermatology, orthopedic, and urology specialties. The panel explored the need to balance benefits of early surgery using improved technologies against potential anesthetic risks, practice changes while awaiting definitive answers, and importance of continued interprofessional dialogue.
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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 | 0.005 | 0.042 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".