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A new generation of paper

2023· article· en· W4387018875 on OpenAlexaboutno aff

Bibliographic record

VenueOPE Journal · 2023
Typearticle
Languageen
FieldComputer Science
TopicMobile and Web Applications
Canadian institutionsnot available
Fundersnot available
KeywordsInterface (matter)Computer scienceWorld Wide WebTelecommunicationsHuman–computer interactionEngineeringOperating system

Abstract

Ynvisible has made headlines with the development of a new type of interactive and seamless human-machine interface based on printed e-paper displays. In OPE journal, the company with headquarters in Vancouver, Canada, provides an update on its activities and innovations.

Stored with the screening record, where it is evidence for the labels above.

How this classification was reachedexpand

The three-model screen

all 5,600 screened works →

All three models called this out of scope.

stratum: about_only · design weight: 3321.24 (the sample is stratified; any rate computed without the weight is wrong)
Claude Opus 4.8OUT
genre: other
about Canada: no
confidence: high

Trade-press company update on printed e-paper display products; not research.

GPT-5.6 (high)OUT
genre: infrastructure/announcement
about Canada: no
confidence: high

It announces a company's e-paper technology rather than studying research infrastructure or practice.

Grok 4.5OUT
genre: infrastructure/announcement
about Canada: no
confidence: high

Commercial product update on printed e-paper displays, not research infrastructure or scholarly communication as objects of study.

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)0.004
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Software · Consensus signal: none
Teacher disagreement score0.147
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.004
Science and technology studies0.0020.001
Scholarly communication0.0100.013
Open science0.0030.004
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.1470.049

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 head0.038
GPT teacher head0.278
Teacher spread0.240 · 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 designNot applicable
Domainnot available
GenreSoftware

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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