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Record W10081776

VALIDATION OF A METHOD FOR SNOW COVER EXTENT MONITORING OVER QUEBEC (CANADA) USING NOAA-AVHRR DATA

2005· article· en· W10081776 on OpenAlexaboutno aff
Karem Chokmani, Monique Bernier, Michel Slivitzky

Bibliographic record

VenuePathologie Biologie · 2005
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicCryospheric studies and observations
Canadian institutionsnot available
Fundersnot available
KeywordsSnowSatelliteSnow coverEnvironmental scienceRemote sensingMeteorologySatellite imageryScale (ratio)ClimatologyGeographyGeologyCartography
DOInot available

Abstract

fetched live from OpenAlex

Pulmonary complications are the leading cause of morbidity and mortality in sickle cell disease patients. Acute chest syndrome (ACS), in which chest pain and dyspnea, occurs in combination with a recent chest radiograph abnormality, raises both diagnostic and therapeutic challenges. The pathogenesis of ACS involves alterations in blood rheology, increased coagulability, and, above all, increased adhesion of sickle cells to the vascular endothelium and nitric oxide-mediated dysregulation of vascular reactivity. Sickle cell disease thus impacts all the cells in the vascular environment. Recently gained insights into pathophysiology offer hope that new treatments for preventing and treating acute and chronic pulmonary complications will soon become available.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.191
Threshold uncertainty score0.805

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.180
GPT teacher head0.344
Teacher spread0.164 · 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 designObservational
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

Citations9
Published2005
Admission routes1
Has abstractyes

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