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Record W2002239595 · doi:10.5539/ass.v7n2p67

Study on Main Mode of Management in Pharmaceutical Technology Brokerage

2011· article· en· W2002239595 on OpenAlexvenueno aff
Liang Cao, Xiaoming Wu

Bibliographic record

VenueAsian Social Science · 2011
Typearticle
Languageen
FieldMedicine
TopicBiotechnology and Related Fields
Canadian institutionsnot available
Fundersnot available
KeywordsStandardizationBusinessMode (computer interface)Government (linguistics)Pharmaceutical industryChinaTechnology managementControl (management)Knowledge managementMarketingManagementEconomicsComputer scienceMedicineLawPharmacologyPolitical science

Abstract

fetched live from OpenAlex

The rapid development of the pharmaceutical industry gave birth to the needs of pharmaceutical technology brokerage. At present, brokerage in China on the management of pharmaceutical technology is more vague and confusing. Also construction of its management is still empty. In view of this, the authors make a comprehensive analysis on contemporary social influential factors and comprehensive management mode related, and put forward a realistic selection for comprehensive management mode of pharmaceutical technology brokerage by taking into consideration of the theory of “choice club”. That is, the main mode of management of “hexagon” which is centered by self-discipline, with supplement of internal restraint, government regulation, ethical standardization, social supervision and legal control in pharmaceutical technology assisted brokerage.

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)0.003
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0030.003
Scholarly communication0.0050.005
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.032
GPT teacher head0.353
Teacher spread0.321 · 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 designQualitative
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

Citations2
Published2011
Admission routes1
Has abstractyes

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