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Record W1990915960 · doi:10.1159/000120571

Quantitation of Medullary Astrogliosis in Sudden Infant Death Syndrome

2008· article· en· W1990915960 on OpenAlex
K.D. Bruce, Laurence E. Becker

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePediatric Neurosurgery · 2008
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience of respiration and sleep
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
FundersEunice Kennedy Shriver National Institute of Child Health and Human Development
KeywordsAstrogliosisSudden infant death syndromeMedullaMedicineHypoxia (environmental)PathologyMedullary cavitySudden deathNeuroscienceCardiologyInternal medicineCentral nervous systemPediatricsBiologyChemistry

Abstract

fetched live from OpenAlex

One of the few relatively consistent pathologic observations in sudden infant death syndrome (SIDS) is astrogliosis of the brain stem. Astrogliosis is a nonspecific reactive process and its cause in SIDS, although still uncertain, is postulated to be hypoxia-ischemia. In this study, the distribution of reactive astrocytes throughout the rostral-caudal extent of the medulla has been determined. Although astrogliosis was present throughout the length of the medulla, it reached a maximum at levels 50-75% of total length, with 0% at the pontomedullary junction. Counting every reactive astrocyte through serial sections of the medulla seems unwarranted in view of the nonspecificity of the astrocytic response. This report proposes a practical approach to the quantitation of reactive astrocytes in SIDS by examining a representative sample of medulla midway through its length.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.046
Threshold uncertainty score0.757

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.055
GPT teacher head0.269
Teacher spread0.214 · 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