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Record W2319166635 · doi:10.1097/ana.0000000000000123

Pediatric Surgeons and Anesthesiologists Expand the Dialogue on the Neurotoxicity Question, Rationale for Early and Delayed Surgeries, and Practice Changes While Awaiting Definitive Evidence

2014· review· en· W2319166635 on OpenAlexaff
Mary Byrne, Pasquale Casale, Maria C. Garzón, Joshua E. Hyman, Albert Y. Lin, Lisa R. Lynch, Charles L. Schleien, Steven Stylianos

Bibliographic record

VenueJournal of Neurosurgical Anesthesiology · 2014
Typereview
Languageen
FieldNeuroscience
TopicAnesthesia and Neurotoxicity Research
Canadian institutionsColumbia College
Fundersnot available
KeywordsMedicineAnesthesiologyAmerican society of anesthesiologistsPanel discussionAnestheticOrthopedic surgeryMedical educationAnesthesiaSurgery

Abstract

fetched live from OpenAlex

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.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.018
metaresearch head score (Gemma)0.030
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.018
Threshold uncertainty score0.094

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.030
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0040.003
Science and technology studies0.0010.003
Scholarly communication0.0040.011
Open science0.0020.002
Research integrity0.0070.010
Insufficient payload (model declined to judge)0.0030.001

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.

Opus teacher head0.222
GPT teacher head0.378
Teacher spread0.155 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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".

Quick stats

Citations12
Published2014
Admission routes1
Has abstractyes

Explore more

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