MétaCan
Menu
Back to cohort
Record W4206626188 · doi:10.1002/div.6266

Brown‐Forman Corp.

2007· article· en· W4206626188 on OpenAlexaboutno aff

Bibliographic record

VenueMergent s Dividend Achievers · 2007
Typearticle
Languageen
FieldMedicine
TopicLegal Cases and Commentary
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessCommerceEconomic historyInternational tradeEconomyEconomics

Abstract

fetched live from OpenAlex

Abstract Food (MIC: 4.1 SIC: 2084 NAIC: 312130) Brown‐Forman primarily manufactures, bottles, imports, exports and markets a variety of alcoholic beverage brands. Co. also manufactures and markets new and used oak barrels. As of Apr 30 2007, Co.'s primary beverage brands included, but not limited to, Jack Daniel's, Southern Comfort, Finlandia, Gentleman Jack, Amarula, Appleton Estate, Canadian Mist, Bel Arbor, Bonterra, Chambord, Don Eduardo, Fetzer, Bolla and Korbel. In the U.S., Co. sells spirits and wines either via wholesale distributors or directly to state governments in those states that control alcohol sales. Internationally, Co.'s key export markets are the U.K., Germany, Spain, Australia, France, South Africa, Canada and Japan.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.510
Threshold uncertainty score0.727

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.4900.205

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 head0.019
GPT teacher head0.287
Teacher spread0.267 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

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
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueMergent s Dividend AchieversSame topicLegal Cases and CommentaryFrench-language works237,207