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Record W7098441442

regarding the duties of issuers of financial instruments which have been admitted for trading on a regulated market. Anheuser-Busch InBev reports First Quarter 2014 Results Highlights

2014· article· en· W7098441442 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMathematics
TopicAnalytic Number Theory Research
Canadian institutionsnot available
Fundersnot available
KeywordsRevenueIssuerTotal revenueQuarter (Canadian coin)Volume (thermodynamics)Revenue center
DOInot available

Abstract

fetched live from OpenAlex

Except where otherwise stated, the comments below are based on organic figures and refer to 1Q14 versus the same period of last year. For important notes and disclaimers please refer to page 13. Revenue growth: Revenue grew by 8.9 % in the quarter. This result was due to growth in total volumes of 4.4%, with revenue per hl also growing by 4.4%, driven by our revenue management and premiumization initiatives. On a constant geographic basis, revenue per hl grew by 5.7% Volume performance: Our own beer volumes grew by 4.5%, driven by volume growth in all four of our top markets, while non-beer volumes grew by 3.0%. In the US, sales to wholesalers (STWs) grew by 2.1%, due to contingency planning in advance of labor negotiations, while selling day adjusted sales–to-retailers decreased by 2.6%

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)0.007
metaresearch head score (Gemma)0.030
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.848
Threshold uncertainty score0.508

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.030
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0040.001
Scholarly communication0.0070.004
Open science0.0010.002
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.1520.051

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 head0.029
GPT teacher head0.294
Teacher spread0.265 · 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.

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
Published2014
Admission routes1
Has abstractyes

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