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Record W4367666343 · doi:10.23977/jaip.2023.060207

Discussion of Practical Application of Virtualization Technology in Computer System

2023· article· en· W4367666343 on OpenAlexvenueno aff
Wang Sanchao, Wenqian Wang

Bibliographic record

VenueJournal of Artificial Intelligence Practice · 2023
Typearticle
Languageen
FieldComputer Science
TopicTechnology and Security Systems
Canadian institutionsnot available
Fundersnot available
KeywordsVirtualizationComputer scienceInformation technologyComputer technologyProductivity paradoxEngineering managementInformation systemManagement information systemsProductivityInformation technology managementKnowledge managementEngineeringCloud computingMultimediaOperating system

Abstract

fetched live from OpenAlex

In recent years, with the gradual development of information technology, most industries in China began to pay attention to the advantages of information technology, especially in the enterprise resource management and business model management, which can bring advanced management ideas and models for enterprises. Traditional information technology is no longer satisfactory, in this case, the application of virtual technology and computer system can greatly improve the computer productivity and system stability. In the era of highly developed information technology, the innovation of information system and the use of virtualization electronic technology to realize the urgency of effective integration ability to solve some common problems in computer system to improve the working quality of computer system, with the development of computer technology, virtualization technology application in computer system will gradually increase, the role of the enterprise will be more obvious.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.943
Threshold uncertainty score0.274

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.346
Teacher spread0.314 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreMethods

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
Published2023
Admission routes1
Has abstractyes

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