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Record W2947587076 · doi:10.1109/educon.2019.8725265

Smart Technologies’ Application for International Taxation

2019· article· en· W2947587076 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicEngineering Education and Technology
Canadian institutionsThomson Reuters (Canada)
Fundersnot available
KeywordsTransfer pricingLegislationMultinational corporationInternational taxationBusinessIndustrial organizationAdministration (probate law)Computer sciencePublic economicsEconomicsTax reformFinance

Abstract

fetched live from OpenAlex

This paper describes an innovative application of smart technologies to administration of taxation in accordance with the new transfer pricing rules, recently introduced by the Organization of Economic Cooperation and Development (OECD) in 2015. The new rules, introduced by the OECD, relate not only to the tax legislation of the 36 OECD countries - the total number of countries that currently are modifying their taxation rules is 116. This paper describes the innovative tax administration system - the ONESOURCE BEPS Action Manager system; it complies with the most recent OECD rules and regulations in international taxation. The results of system analysis, design, development, testing and pilot utilization by a multinational enterprises, and a summary of the obtained user feedback are presented in the paper.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.867
Threshold uncertainty score0.204

Codex and Gemma teacher scores by category

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

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 head0.005
GPT teacher head0.233
Teacher spread0.228 · 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

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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