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Record W7053119212

Transposição de demonstrações financeiras em moeda estrangeira

2019· dissertation· pt· W7053119212 on OpenAlexfundno aff

Bibliographic record

VenueUniversity of Lisbon Repository (University of Lisbon) · 2019
Typedissertation
Languagept
FieldEngineering
TopicPlasma Diagnostics and Applications
Canadian institutionsnot available
FundersArctic Goose Joint Venture
KeywordsFinancial accountingPortugueseAccounting information systemFinancial statementInternational Financial Reporting StandardsAccounting standard
DOInot available

Abstract

fetched live from OpenAlex

Este estudo analisa e aprofunda a problemática contabilística da transposição de demonstrações financeiras expressas em moeda estrangeira. Inicialmente procedeu-se ao enquadramento da normalização internacional e à identificação das práticas e métodos geralmente aceites. De seguida, e com base em informação recolhida através de um inquérito, são caracterizados alguns aspectos importantes na metodologia utilizada por empresas portuguesas que lidam com esta matéria na elaboração das suas contas consolidadas. Em conclusão, propõe-se a adopção de critérios na formulação de políticas contabilísticas indispensáveis ao processo estudado, salientando as respectivas vantagens e desvantagens.

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)0.005
metaresearch head score (Gemma)0.023
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.014
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.023
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0020.002
Scholarly communication0.0040.003
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0140.002

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 head0.006
GPT teacher head0.169
Teacher spread0.163 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2019
Admission routes1
Has abstractyes

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