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Mundos absurdos y emotivos

2012· article· en· W12453079 on OpenAlexaboutno aff
Quim Casas

Bibliographic record

VenueDirigido por ...: Revista de cine · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Sciences and Policies
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

Iron and ferritin are known to have an important role in stroke as well as in other disorders. This prospective study was designed to determine whether administering ferritin levels might help to estimate the severity and prognosis of stroke. Fifty-one patients with a diagnosis of acute stroke were included in the study within 24 h from onset of symptoms. Serum ferritin and cortisol levels were assayed at admission. Clinical status was determined by the Canadian Stroke Scale at admission and on day 21. Serum ferritin level was found to be higher in patients with large lesion size (P < 0.01), deteriorated neurologic status during clinical follow-up (P = 0.03) and deceased patients (P < 0.01). Serum ferritin level was correlated with neurologic deficit (r = 0.50, P < 0.001). No correlation was found between serum cortisol and ferritin levels (r = 0.07, P = 0.7). Serum ferritin level (P = 0.007; OR = 1.02; 95% CI, 1.01-1.03) and large size of lesion (P = 0.021, OR = 11.92; 95% CI; 1.46-197.12) were independently associated with mortality. Increased serum ferritin levels correlate to severity of stroke and the size of the lesion.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.903
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.031
GPT teacher head0.353
Teacher spread0.322 · 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.

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

Citations0
Published2012
Admission routes1
Has abstractyes

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