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Record W7037754318

Espessuras do Grupo Serra Geral em Santa Catarina como resultado de um processo de estruturação em blocos.

2016· article· pt· W7037754318 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueLA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · 2016
Typearticle
Languagept
FieldEnvironmental Science
TopicGeography and Environmental Studies
Canadian institutionsnot available
Fundersnot available
KeywordsBaseline (sea)Quarter (Canadian coin)Principal component analysis
DOInot available

Abstract

fetched live from OpenAlex

As espessuras do Grupo Serra Geral, da Bacia Geológica do Paraná, despertam grande interesse por constituir a principal cobertura do Sistema Aquífero Guarani (SAG). Recentemente a tese de doutorado de Descovi Filho, 2015, produzida no âmbito do Projeto Rede Guarani/Serra Geral (Meta 1 Componente 1), apresentou detalhes de campo e agregou informações de diversas fontes sobre 132 poços que atingem o contato do Serra Geral com o SAG, e portanto, possibilitam obter-se informações referentes a espessuras do pacote vulcânico e a definição de (pelo menos) 14 blocos tectônicos hidrogeológicos no Estado de Santa Catarina, com a espessuras do Grupo Serra Geral variando desde zero (0) metro até 1132 metros. O entendimento e conhecimento das espessuras do Grupo Serra Geral pode subsidiar a gestão dos recursos hídricos do Sistema Aquífero Iintegrado Guarani/Serra Geral (SAIG/SG)em todo o oeste de Santa Catarina.

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), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.604
Threshold uncertainty score0.999

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 studies0.0020.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.001
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 head0.016
GPT teacher head0.230
Teacher spread0.214 · 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