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Record W4248286858 · doi:10.1109/n-ssc.2004.6500036

CICC celebrates 26 years of innovation, education, and communication

2004· article· en· W4248286858 on OpenAlexaff
S.H. Lewis, R.C. Jaeger, D.A. Johns, D.A. Hodges, C.G. Sodini, Georges Gielen, Lewis M. Terman, Gerhard Fettweis, Takayasu Sakurai, Neil Weste, Anantha P. Chandrakasan, John F. Corcoran, Wanda Gass, Teresa H. Meng, J. Sevenhans, Brian Ackland, Gary Baldwin, Tom Lee, Jan M. Rabaey, Jan Van der Spiegel, Richard Chapters, Jan Van Der Speigel, Ken Yang, Meetings Anantha, Chandrakasan Membership, Anne C. O’Neill

Bibliographic record

VenueIEEE Solid-State Circuits Society Newsletter · 2004
Typearticle
Languageen
FieldEngineering
TopicVLSI and FPGA Design Techniques
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsBusinessEngineering managementEngineering

Abstract

fetched live from OpenAlex

The 2004 Custom Integrated Circuits Conference (CICC04), a premier conference for information on leading-edge analog and digital circuits, celebrates its 26th year, 3–6 October, in Orlando, Florida. CICC is dedicated to IC development, showcasing original first-published technical work and innovative circuit techniques tackling practical problems.

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 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)0.003
metaresearch head score (Gemma)0.004
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.078
Threshold uncertainty score0.261

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0030.001
Scholarly communication0.0060.002
Open science0.0010.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0780.054

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 head0.011
GPT teacher head0.243
Teacher spread0.232 · 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
GenreOther

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
Published2004
Admission routes1
Has abstractyes

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Same venueIEEE Solid-State Circuits Society NewsletterSame topicVLSI and FPGA Design TechniquesFrench-language works237,207