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Record W3049407853 · doi:10.5539/jas.v12n9p138

Pedon Characterization in the Caatinga Biome Area in Chapada Apodi, RN, Brazil

2020· article· en· W3049407853 on OpenAlexvenueno aff
Francisca Elisângela Maniçoba, Francisco Gonçalo Filho, Lunara Gleika da Silva Rêgo, Carolina Malala Martins Souza, Ana Carla Rodrigues da Silva, Rebeca Nairony da Silva Lima, Miguel Ferreira Neto, Neyton de Oliveira Miranda

Bibliographic record

VenueJournal of Agricultural Science · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSoil Management and Crop Yield
Canadian institutionsnot available
FundersUniversidade Federal Rural do Semi-Árido
KeywordsBiomeVertisolUSDA soil taxonomyMollisolSoil waterPlateau (mathematics)ForestryGeographySoil classificationEnvironmental scienceSoil scienceEcologyEcosystemBiologyMathematics

Abstract

fetched live from OpenAlex

The Apodi Plateau is a Brazilian with important agricultural activity, which is located between the states of Ceará and Rio Grande do Norte, in an area of the Caatinga biome. Therefore, this work was developed to characterize the morphological, physical, chemical and mineralogical attributes of soil profiles of this region. For this purpose, trenches were open in three areas in the Tabuleiro Grande Settlement Project, in the municipality of Apodi, RN, Brazil. The profiles were described in the field and samples of the horizons were collected for physical, chemical and mineralogical analyzes. The profiles were classified up to the fourth categorical level and correlated with Soil Taxonomy.According to the Brazilian Soil Classification System, the soils studied were Vertissolo Háplico Órtico chernossólico (Mollisols), Chernossolo Rêndzico Petrocálcico típico (Mollisols) e Vertissolo Háplico Órtico chernossólico (Vertisols).

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.134
Threshold uncertainty score0.267

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
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 head0.026
GPT teacher head0.220
Teacher spread0.194 · 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

Citations1
Published2020
Admission routes1
Has abstractyes

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