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Record W1585602745 · doi:10.24310/abm.v34i0.6952

Impacto del ozono troposférico sobre la anatomía foliar de Abies pinsapo Boiss. I.: Estudio de la distribución de daños

2009· article· es· W1585602745 on OpenAlexaff
David Lázaro-Gimeno, Ana M. Ibars

Bibliographic record

VenueActa Botanica Malacitana · 2009
Typearticle
Languagees
FieldAgricultural and Biological Sciences
TopicPlant responses to elevated CO2
Canadian institutionsImpact
Fundersnot available
KeywordsHumanitiesGeographyArt

Abstract

fetched live from OpenAlex

RESUMEN. Impacto del ozono troposférico sobre la anatomía foliar de Abies pinsapo Boiss. I: Estudio de la distribución de daños. Con el fin de elaborar unos criterios unificados para la evaluación del impacto del ozono troposférico y compararlos con la respuesta de las poblaciones naturales de Sierra Bermeja y Sierra de las Nieves, se han reproducido en cámaras Open Top, ambientes filtrados y enriquecidos con ozono para realizar una caracterización microscópica del daño que produce el ozono troposférico sobre Abies pinsapo Boiss. Los resultados demuestran que pese a que la morfología foliar permanece inalterada tras someter durante un mes en condiciones de 30 ppb durante 8 horas al día, a nivel tisular se han producido daños de consideración que afectan de este endemismo.Palabras clave. Anatomía, Abies pinsapo, ozono, cámaras Open Top.ABSTRACT. Tropospheric ozone injury on the foliar anatomy of Abies pinsapo Boiss. I: Study of damage distribution. With the aim of develop unified criteria to evaluate the tropospheric ozone injury and compare with responses in Abies pinsapo Boiss. in natural populations in Sierra Bermeja and Sierra de las Nieves, it has been reproduced in Open Top Chambers conditions of filtered air and addition of controlled amounts of ozone. Results show that despite leaf morphology remains unaltered after a treatment with 30 ppb 8 hours per day, at tissue level there have been injuries that affect this endemism.Key words. Anatomy, Abies pinsapo, ozone, Open Top chambers.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.817
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0010.001
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 head0.009
GPT teacher head0.248
Teacher spread0.239 · 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 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

Citations2
Published2009
Admission routes1
Has abstractyes

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