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Análise das caracteristicas quantitativas e qualitativas da microbacia do córrego barreiro, afluente do Rio Uberaba

2011· article· pt· W1996018851 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueRevista Árvore · 2011
Typearticle
Languagept
FieldEnvironmental Science
TopicGroundwater and Watershed Analysis
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsHumanitiesPhysicsGeographyArt

Abstract

fetched live from OpenAlex

A associação de métodos qualitativos e quantitativos no estudo das microbacias hidrográficas é fundamental para investigar os fatores que influenciam as diversas formas de relevo e identificação das homogeneidades na área. Com os objetivos de realizar a morfometria e avaliar a qualidade da água da microbacia do córrego do Barreiro, fez-se a caracterização morfométrica da área, que foi realizada sobre uma carta topográfica do IBGE (Folha Uberaba) na escala 1:100.000, com o auxílio de curvímetros, planímetros e programa computacional AutocadMap2000i. Observou-se que a microbacia possui área total de 10,97 km², perímetro de 14,33 km, com comprimento do canal principal de 6,11 km e rede de drenagem de 3ª ordem, com padrão dendrítico; o Kc de 1,21; Ic de 0,76; e Kf de 0,23 indicam o formato alongado da microbacia, o que determina a não propensão a enchentes na área; a área tem aptidão para a pecuária; a água do córrego estava imprópria para consumo humano e animal devido estar contaminada com coliformes fecais no período avaliado.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.323
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0160.008

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 head0.051
GPT teacher head0.301
Teacher spread0.250 · 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