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Record W1990427841 · doi:10.1097/ana.0b013e3182a09a42

Mechanical Ventilation Contributing to Refractory Intracranial Hypertension, a Transcranial Doppler Observation

2013· letter· en· W1990427841 on OpenAlexaffabout
Hosam Al-Jehani

Bibliographic record

VenueJournal of Neurosurgical Anesthesiology · 2013
Typeletter
Languageen
FieldMedicine
TopicCerebral Venous Sinus Thrombosis
Canadian institutionsMontreal Neurological Institute and Hospital
Fundersnot available
KeywordsMedicineNeurointensive careNeurosurgeryNeurologyTranscranial DopplerMedical emergencyEmergency medicineUniversity hospitalMechanical ventilationIntensive care medicineAnesthesiaSurgeryPsychiatryInternal medicine

Abstract

fetched live from OpenAlex

*Department of Neurology and Neurosurgery, Neurocritical Care Unit Montreal Neurological Institute and Hospital, Montreal, QC, Canada †Department of Neurosurgery, King Fahad University Hospital, Dammam University, Al-Khobar, Saudi Arabia The author has no funding or conflicts of interest to disclose.

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 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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.283
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0010.000

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 head0.041
GPT teacher head0.262
Teacher spread0.221 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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

Citations1
Published2013
Admission routes2
Has abstractyes

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