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Record W1529034612

CARTA HIDROGEOLÓGICA DO ESTADO DE SÃO PAULO (BRASIL) NA ESCALA 1:1.000.000 - RESULTADOS PARCIAIS

2000· article· pt· W1529034612 on OpenAlexaff
José Eduardo Campos, José Luiz Albuquerque Filho, Geraldo Hideo Oda, Mara Akie Iritani, Mônica Mazzini Perrotta, Ruy Edy Iglesias da Silveira, Armando Teruo Takahashi

Bibliographic record

VenueLA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · 2000
Typearticle
Languagept
FieldEnvironmental Science
TopicGeography and Environmental Studies
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsHumanitiesPhysicsArt
DOInot available

Abstract

fetched live from OpenAlex

O projeto da Carta Hidrogeológica do Estado de São Paulo tem por objetivo a representação cartográfica dos resultados obtidos nos “Estudos de Águas Subterrâneas” desenvolvidos pelo Departamento de Águas e Energia Elétrica – DAEE entre 1972 e1982. Através de uma cooperação técnica entre o DAEE, IG/SMA, CPRM e IPT pretendese concluí-lo em 2.000, com alguma atualização e adaptação em relação à sua concepção original. No presente trabalho busca-se ilustrar parte das atividades desenvolvidas, por meio de dois mapas temáticos referentes ao Sistema Aqüífero Bauru que se estende por 100.000 km2 na porção oeste do estado de São Paulo. O Mapa do Contorno Estrutural do Topo da Formação Serra Geral (base do Bauru) elaborado a partir de mais de 500 poços é apresentado procurando-se adaptar a superfície gerada às feições tectônicas/alinhamentos estruturais, originadas pela Reativação Wealdeniana ou Sul-Atlantiana. O Mapa da Superfície Potenciométrica, obtido a partir de mais de 800 poços, permitiu verificar e confirmar o padrão de drenagem e respectivas direções de fluxos subterrâneos já identificadas pelo DAEE para a região de Presidente Prudente e Marília, em 1979.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.724
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
Bibliometrics0.0000.002
Science and technology studies0.0030.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.221
Teacher spread0.207 · 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

Citations0
Published2000
Admission routes1
Has abstractyes

Explore more

Same venueLA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)Same topicGeography and Environmental StudiesFrench-language works237,207