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Dispersão de poluentes nos eixos estruturais em Curitiba (PR), Brasil

2014· article· pt· W2033046210 on OpenAlexaff
Ana Paula Bender, Maurício Dziedzic

Bibliographic record

VenueEngenharia Sanitaria e Ambiental · 2014
Typearticle
Languagept
FieldHealth Professions
TopicNoise Effects and Management
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPhysicsHumanitiesEnvironmental scienceArt

Abstract

fetched live from OpenAlex

O aumento da frota veicular causa a deterioração da qualidade do ar e o comprometimento da saúde e bem-estar da população. A malha urbana edificada influencia o escoamento do ar, dificultando a dispersão de emissões veiculares. O presente estudo objetiva avaliar a influência dos parâmetros de ocupação do solo definidos pela legislação municipal nos eixos estruturais em Curitiba (PR), caracterizados pelo forte estímulo ao adensamento e alto tráfego veicular. Foram simuladas variações do recuo frontal e das alturas das edificações nestes eixos, em especial na Avenida Sete de Setembro, a fim de verificar a influência destes na concentração de poluentes. São feitas sugestões de possíveis alterações à legislação em vigor, recomendando-se reduzir a altura das edificações no lado oposto ao vento predominante e aumentar, nos trechos não consolidados, o recuo frontal da sobreloja.

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), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.433
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0080.007

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 head0.018
GPT teacher head0.324
Teacher spread0.306 · 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; both teacher heads agree on what is shown here.

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

Citations5
Published2014
Admission routes1
Has abstractyes

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