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Record W4400443481 · doi:10.14295/derb.v45.818

Registros geológicos de impactos meteoríticos no Brasil: evolução e estágio atual

2024· article· pt· W4400443481 on OpenAlexaff
Álvaro Penteado Crósta

Bibliographic record

VenueDerbyana · 2024
Typearticle
Languagept
FieldPhysics and Astronomy
TopicAstro and Planetary Science
Canadian institutionsImpact
Fundersnot available
KeywordsGeologyHumanitiesPhysicsMineralogyGeomorphologyArt

Abstract

fetched live from OpenAlex

Impactos meteoríticos são um raro tipo de processo geológico que, por suas características extremas de pressão e temperatura, são capazes de promover transformações permanentes em rochas crustais. As marcas resultantes são as estruturas denominadas “crateras de impacto”. Com o passar do tempo as crateras são geralmente modificadas por processos erosivos, tectônicos e sedimentares característicos da dinâmica geológica da Terra, até serem completamente removidas da sua superfície. Por esse motivo, o registro geológico de impactos na Terra é bastante incompleto, com tendência à preservação das crateras de maior porte e relativamente mais jovens. A maioria das crateras conhecidas na Terra se encontra em um estágio parcial de preservação, recebendo a denominação de “astroblemas”. São conhecidas atualmente cerca de 200 estruturas dessa natureza na Terra. Na América do Sul há onze estruturas formadas comprovadamente por impactos meteoríticos, sendo que as nove maiores e mais antigas estão no Brasil. Elas são parte de duas bacias sedimentares intracratônicas fanerozoicas, a do Paraná e a do Parnaíba. Suas idades estimadas variam da transição Permotriássica ao Cretáceo Superior. Neste artigo é apresentada uma síntese sobre o atual estado de conhecimento geológico dessas estruturas, bem com suas principais características geológicas e geofísicas. São feitas também considerações sobre ações específicas de geoconservação e geopatrimônio.

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)0.002
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 score0.116
Threshold uncertainty score0.231

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0050.006
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.013
GPT teacher head0.256
Teacher spread0.243 · 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

Citations2
Published2024
Admission routes1
Has abstractyes

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