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Record W7034809988

Vigilancia del ozono atmosférico en la estación VAG Marcapomacocha. no.10 (octubre 2018)

2018· report· es· W7034809988 on OpenAlexaboutno aff

Bibliographic record

VenueAmericanae (AECID Library) · 2018
Typereport
Languagees
FieldImmunology and Microbiology
TopicAntibiotic Use and Resistance
Canadian institutionsnot available
Fundersnot available
KeywordsHuman healthAir pollutantsHuman use
DOInot available

Abstract

fetched live from OpenAlex

La capa de ozono, situada en la estratósfera terrestre (encima de la tropósfera) absorbe la mayor parte de la radiación ultravioleta solar. El uso de los CFC (Clorofluorocarbonos) compuestos artificiales, ha provocado su paso hacia la atmósfera donde han destruido parte de la capa de ozono. Esta destrucción, especialmente importante en la región Antártica, fue descubierta en los años 80 y se tomaron medidas encuadradas en el Protocolo de Montreal para dejar de utilizar estos compuestos destructores del ozono, esperando que se vuelva a la situación de equilibrio a mediados del presente siglo. Sin embargo, si parte de las manifestaciones incipientes de un cambio global observadas hasta ahora, se deben a este problema, esto confirmaría que el ser humano puede introducir cambios en el clima añadiendo un nuevo grado de incertidumbre al futuro climático de la tierra. Ahora se cree que la disminución de ozono atmosférico en la Antártida, es el agente dominante de los cambios de circulación atmosférica en el hemisferio sur en los últimos 50 años, por lo que se debe de tomar en cuenta para las políticas de mitigación del cambio climático. En síntesis esta disminución de ozono es un factor importante en el sistema climático, dado de que algunos modelos indican que ha sido la causa de veranos muy lluviosos en las zonas tropicales.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.046
Threshold uncertainty score0.091

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.003

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 head0.006
GPT teacher head0.231
Teacher spread0.224 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2018
Admission routes1
Has abstractyes

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