MétaCan
Menu
Back to cohort
Record W2568794112 · doi:10.1186/s13613-016-0224-7

Proceedings of Réanimation 2017, the French Intensive Care Society International Congress

2017· article· en· W2568794112 on OpenAlexaff

Bibliographic record

VenueAnnals of Intensive Care · 2017
Typearticle
Languageen
FieldMedicine
TopicRespiratory Support and Mechanisms
Canadian institutionsSt. Michael's HospitalCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsAnesthesiologyMedicinePain medicineIntensive careLibrary scienceIntensive care medicinePsychiatry

Abstract

fetched live from OpenAlex

Introduction Head injury is a rare but possible etiology of cerebral thrombophlebitis. The diagnosis should be considered especially in front of open head injuries extended to venous sinuses. The MR angiography is the gold standard for early diagnosis. Patients and methods This is a descriptive prospective study of all trauma patients hospitalized in the intensive care unit of the University Hospital Habib Bourguiba Sfax over a period of 6 years between January 2010 and June 2016 and in whom the diagnosis of cerebral venous thrombophlebitis has been confirmed by angiography CT or MR angiography.

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)0.000
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.770
Threshold uncertainty score0.512

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.082
GPT teacher head0.368
Teacher spread0.286 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations7
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueAnnals of Intensive CareSame topicRespiratory Support and MechanismsFrench-language works237,207