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Record W2592174140 · doi:10.5935/2177-4560.20120009

Morphometric factors as conditioning variables in the occurrence of floods in the Serafim Stream basin, subbasin of the Paraibuna River, Juiz de Fora, MG

2012· article· en· W2592174140 on OpenAlex
Raquel Callegario Zacchi, Maola Monique Faria, Elaine Santiago Ferreira

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

VenueBoletim do Observatório Ambiental Alberto Ribeiro Lamego · 2012
Typearticle
Languageen
FieldEnvironmental Science
TopicGroundwater and Watershed Analysis
Canadian institutionsCentre Intégré de Santé et de Services Sociaux des Laurentides
Fundersnot available
KeywordsDrainage basinStructural basinGeographyGeologyHumanitiesHydrology (agriculture)GeomorphologyWater resource managementEnvironmental scienceCartographyArtGeotechnical engineering

Abstract

fetched live from OpenAlex

As they encourage the monitoring of natural changes introduced by man such as soil use and occupation, basins should be considered as planning units because they allow for the monitoring of their activities in order to preserve natural resources. This study aims to characterize the watershed of the Serafim Stream, subbasin of the Paraibuna River, located in Juiz de Fora, MG, regarding its morphometric features. To do this, it was necessary to limit the basin area inserted in the map by IBGE (Juiz de Fora SF - 23 - X - D - IV - 1, scale 1:50,000). The basin has an area of 39.8 km2, drainage order equal to five and guidance to the northeast. The drainage pattern has been classified as dendritic, indicating average drainage capacity. Through the correlation between the morphometric factors, it can be stated that the basin has a median susceptibility to flooding.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.977

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
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 head0.015
GPT teacher head0.230
Teacher spread0.215 · 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