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Record W2170558362 · doi:10.1109/icmb-gmr.2010.75

Toward a Framework for the Discovery and Acquisition of Mobile Applications

2010· article· en· W2170558362 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicMobile and Web Applications
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsComputer scienceData science

Abstract

fetched live from OpenAlex

Mobile application development is a field that has gone through rapid change during the past two decades. Although, in the past, the development and control of mobile devices was performed by phone manufacturers and network carriers, and development was done ‘in house’, the evolution of mobile device capabilities has expanded the potential for mobile application developers. This evolution has created four main actors in the world of mobile applications: the network carrier, the phone manufacturer, the service provider, and the application developer. The application developer must run through a gauntlet of important decisions and choices to create a successful and marketable application. In this paper we investigate and analyze the challenges mobile developers face. A framework for the aggregation of major mobile application distribution channels is introduced with the aim of providing an efficient way to locate, purchase, and download a mobile application onto a mobile device.

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.

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)0.000
metaresearch head score (Gemma)0.000
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: Theoretical or conceptual
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.831
Threshold uncertainty score0.104

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.012
GPT teacher head0.272
Teacher spread0.259 · 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

Quick stats

Citations7
Published2010
Admission routes1
Has abstractyes

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