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Record W2098202470 · doi:10.1109/mssc.2013.2254632

Through the Looking Glass?Part 2 of 2: Trend Tracking for ISSCC 2013 [ISSCC Trends]

2013· article· en· W2098202470 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

VenueIEEE Solid-State Circuits Magazine · 2013
Typearticle
Languageen
FieldComputer Science
TopicAge of Information Optimization
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsWirelineComputer scienceTelecommunicationsMultimediaWirelessElectrical engineeringEngineering

Abstract

fetched live from OpenAlex

The intent of the second part of this article is to share a sampling of the views held by the diverse group of experts represented by the International Solid-State Circuits Conference (ISSCC) 2013 Energy Efficient Digital; High Performance Digital; Technology Directions; Imagers, MEMS, Medical, and Displays (IMMD); and Memory program subcommittees. We published the findings of the subcommittees on Analog, Data Converters, RF, Wireline, and Wireless subcommittees in the Winter 2013 issue of this magazine.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.968
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.003
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 head0.024
GPT teacher head0.268
Teacher spread0.244 · 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