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Record W2049864513 · doi:10.1100/tsw.2007.269

Traumatic Brain Injury and Delayed Sequelae: A Review - Traumatic Brain Injury and Mild Traumatic Brain Injury (Concussion) are Precursors to Later-Onset Brain Disorders, Including Early-Onset Dementia

2007· review· en· W2049864513 on OpenAlex
Michael A. Kiràly, Stephen J. Kiraly

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

VenueThe Scientific World JOURNAL · 2007
Typereview
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsUniversity of British ColumbiaUniversity of Toronto
Fundersnot available
KeywordsTraumatic brain injuryConcussionMedicineDementiaDiseasePoison controlInjury preventionNeurosciencePsychiatryPsychologyInternal medicineMedical emergency

Abstract

fetched live from OpenAlex

Brain injuries are too common. Most people are unaware of the incidence of and horrendous consequences of traumatic brain injury (TBI) and mild traumatic brain injury (MTBI). Research and the advent of sophisticated imaging have led to progression in the understanding of brain pathophysiology following TBI. Seminal evidence from animal and human experiments demonstrate links between TBI and the subsequent onset of premature, psychiatric syndromes and neurodegenerative diseases, including Alzheimer's disease (AD) and Parkinson's disease (PD). Objectives of this summary are, therefore, to instill appreciation regarding the importance of brain injury prevention, diagnosis, and treatment, and to increase awareness regarding the long-term delayed consequences following TBI.

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)0.034
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.575
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0340.007
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0060.002
Bibliometrics0.0050.007
Science and technology studies0.0030.002
Scholarly communication0.0020.001
Open science0.0030.001
Research integrity0.0010.006
Insufficient payload (model declined to judge)0.0020.000

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 head0.162
GPT teacher head0.427
Teacher spread0.265 · 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