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Record W2761850325 · doi:10.4215/rm2017.e16018

SURFACE TEMPERATURE AND ALBEDO IN THE ILHA SOLTEIRA REGION, SÃO PAULO

2017· article· pt· W2761850325 on OpenAlexfundno aff
Heliofábio Barros Gomes, Lucas Barbosa Cavalcante, Rosiberto Salustiano da Silva, Maurílio Neemias dos Santos

Bibliographic record

VenueMercator · 2017
Typearticle
Languagept
FieldEnvironmental Science
TopicEnvironmental and biological studies
Canadian institutionsnot available
FundersUniversidade Federal de AlagoasConselho Nacional de Desenvolvimento Científico e TecnológicoCanadian Institute for Theoretical Astrophysics
KeywordsAlbedo (alchemy)Flux (metallurgy)Atmospheric sciencesEnvironmental scienceGeometric albedoGeographyChemistryGeologyPhysicsPhotometry (optics)Astrophysics

Abstract

fetched live from OpenAlex

O principal objetivo foi realizar análise dinâmica nos campos de fluxo de calor no solo, albedo e temperatura da superfície com intervalo de 10 anos, para a região de Ilha Solteira.Os dados utilizados foram obtidas através de imagens multiespectrais do sensor TM Landsat 5 correspondentes a órbita 222, ponto 74, para 13/05/2000 e 10/04/2011.Mediante os resultados obtidos, o albedo da superfície foi estimado com valores mínimos de 3,7% e máximos de 53,2% para o dia 13/05/2000 e valores mínimos de 2,0% e 58,4% para o dia 10/04/2011 constatando um aumento na refletividade da superfície da área de estudo.Com o aumento do albedo da superfície, o valor médio da temperatura da superfície passou de 24,5ºC, em 2000, para 25,2ºC, em 2011, o que nos mostra uma elevação de 0,7ºC.Para o fluxo de calor no solo, as variações foram de 62,9 W.m-2 em 13/05/2000 para 58,0 W.m-2 em 10/04/2011 evidenciando uma maior retenção de calor no solo.

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)0.000
metaresearch head score (Gemma)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.053
Threshold uncertainty score0.105

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.027
GPT teacher head0.244
Teacher spread0.216 · 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

Citations3
Published2017
Admission routes1
Has abstractyes

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