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Record W2939383030 · doi:10.22456/1807-9806.17865

Microssonda eletrônica de elétrons U-Th-Pb e La-ICP-MS U-Pb datando de múltiplos eventos hidrotermais e metamórficos registrados em minerais de as albitites uraníferas da Lagoa Real (Brasil

2009· article· pt· W2939383030 on OpenAlexafffund
Alexandre de Oliveira Chaves, M. Tubrett, Simone Cristina Pires AVELAR, Francisco Javier Ríos, Geraldo Norberto Chaves Sgarbi, José Marques Correia Neves, James Vieira Alves, Kazuo Fuzikawa, Evandro Carele de MATOS, Sônia Pinto Prates

Bibliographic record

VenuePesquisas em Geociências · 2009
Typearticle
Languagept
FieldEarth and Planetary Sciences
TopicGeological and Geochemical Analysis
Canadian institutionsMemorial University of Newfoundland
FundersComissão Nacional de Energia NuclearMemorial University of NewfoundlandUniversidade Federal de Minas GeraisConselho Nacional de Desenvolvimento Científico e Tecnológico
KeywordsGeologyHumanitiesGeochemistryArt

Abstract

fetched live from OpenAlex

Os albititos uraníferos de Lagoa Real são rochas que passaram por várias modificações após a formação. A datação química U-Th-Pb por microssonda eletrônica e datação U-Pb por LAICP-MS dos minerais dos albititos revelaram cristalização e metamorfismo isoquímico do protólito (sienitos sódicos portadores de U) em cerca de 2,0-1,9 Ga durante as fases finais do evento orogênico Orosiriano, quando a primeira geração de uraninitas foi formada. Mobilizações múltiplas de urânio e chumbo promovidas por pelo menos cinco eventos hidrotermais (1,7 Ga, 1,5 Ga, 1,3 Ga, 1,1 Ga e 1,0 Ga) foram detectadas nos albititos. A provável formação de um segundo grupo de uraninitas e/ou o reajuste do relógio U-Pb das uraninitas mais antigas durante o evento orogênico Brasiliano (0,5 Ga) também ocorreram.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.018
GPT teacher head0.257
Teacher spread0.239 · 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
Published2009
Admission routes2
Has abstractyes

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