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Record W2095247275 · doi:10.1145/1969773.1969801

Terminal mode

2010· article· en· W2095247275 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
FieldSocial Sciences
TopicMultimedia Communication and Technology
Canadian institutionsNokia (Canada)
Fundersnot available
KeywordsTerminal (telecommunication)Computer scienceMobile deviceAutomotive industryMode (computer interface)Mobile computingMobile telephonyTerminal equipmentEmbedded systemHuman–computer interactionComputer networkMobile radioOperating systemTelecommunicationsEngineering

Abstract

fetched live from OpenAlex

Mobile devices such as smart phones have enabled consumers to gain access to a growing number of interactive and useful applications, anytime anywhere. However, once a user enters his/her vehicle the availability of such applications and their user experience degrades drastically -- either because of being restricted to using the few applications available on the In-Vehicle Infotainment (IVI) system or due to the challenges of interacting with a tiny mobile device screen attached to a car dock. In this paper, we present Terminal Mode -- a technology which transforms mobile devices into automotive application platforms and seamlessly integrates them into vehicle infotainment systems. This technology not only enables consumers to access their favorite mobile services and applications in a safe manner while traveling in a vehicle but also provides top quality user experience consistent with high-end IVI systems.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.988
Threshold uncertainty score0.999

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)0.0030.000

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 head0.025
GPT teacher head0.388
Teacher spread0.364 · 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

Citations25
Published2010
Admission routes1
Has abstractyes

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