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Record W7132297118

Mindray Bio-Medical (A): Strategic Market Entry Decisions in the Ultrasound Imaging System Business

2002· other· en· W7132297118 on OpenAlexaff
Kwaku Atuahene-Gima, Leiping Xu

Bibliographic record

VenueCEIBS Institutional Repository · 2002
Typeother
Languageen
Field
Topic
Canadian institutionsCentre Casa
Fundersnot available
KeywordsUltrasound imagingUltrasonic sensorMedical imagingUltrasonic imagingUltrasoundProcess (computing)Ultrasonography
DOInot available

Abstract

fetched live from OpenAlex

As extremely important medical imaging equipment, ultrasonic imaging systems were widely used in modern medical institutions. However, domestic enterprises in the ultrasonic imaging business were faced with challenges, like low-end products and the presence of large international competitors. Under this background, Chinese enterprise Mindray Biological Medical Electronics was assessing the future development of the company’s ultrasonic imaging business. In 2007, chairman Xu Hang needed to consider some crucial issues pertaining to the development of ultrasound imaging. Case (A) focuses on the entry strategy decision for the ultrasonic imaging market; case (B) focuses on Mindray’s research strategy path in the ultrasonic imaging market; and case (C) describes the marketing strategy decision-making process and challenges of the ultrasonic imaging business.

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 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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient 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: none
Teacher disagreement score0.567
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.003

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 head0.016
GPT teacher head0.242
Teacher spread0.226 · 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; both teacher heads 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
Published2002
Admission routes1
Has abstractyes

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