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Record W2032628074 · doi:10.2308/iace.2007.22.4.675

Beijing Biotechnology Company: Financial Reporting Issues of Expansion to the West

2007· article· en· W2032628074 on OpenAlexaff
Bruce J. McConomy, Bixia Xu

Bibliographic record

VenueIssues in Accounting Education · 2007
Typearticle
Languageen
FieldMedicine
TopicBiotechnology and Related Fields
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsListing (finance)ChinaBeijingStock exchangeStock (firearms)BusinessAccountingBiotechnologyFinancePolitical scienceLawEngineeringBiology

Abstract

fetched live from OpenAlex

The biotechnology industry has been rapidly expanding both in the United States and around the world. For example, there are approximately 1500 biotechnology firms in the United States with over 300 that are publicly held (http://www.org.). This case examines the biotechnology industry from an international perspective. Beijing Biotechnology Company (BBC) is a medium-sized biotech company that operates in China. It plans to expand via a stock listing on a Western stock exchange such as NASDAQ. The case examines the issues facing BBC as it seeks a Western-based stock listing.

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)0.011
metaresearch head score (Gemma)0.030
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.037
Threshold uncertainty score0.073

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.030
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0060.004
Scholarly communication0.0110.008
Open science0.0020.003
Research integrity0.0150.006
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 head0.015
GPT teacher head0.346
Teacher spread0.331 · 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
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
Published2007
Admission routes1
Has abstractyes

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