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2022· article· en· W4280593266 on OpenAlexaff
Christophe Antoine, Analog Devices, Samuel Palermo, Arijit Raychowdhury, Hua Wang, Fa Foster Dai, Alessandro Piovaccari, Eric Soenen, Mark S. Oude Alink, Farhana Sheikh, Zhipeng Li, Amr Fahmin, Gregory Chen, Woogeun Rhee, Jacques Chris, Rudell, Jerald Yoo, Carlos Tokunaga, Armin Tajalli, John H. Pigott, Nxp Semiconductors, Jane Gu, Hanh‐Phuc Le, Vanessa Chen, Shreyas Sen, Ülkühan Güler, Elnaz Ansari, Facebook Bonizzoni, Tolga Dinç, Yongping Fan, Ping-Hsuan Hsieh, Hiroki Ishikuro, Bongjin Kim, Barbara Li, Haiyang Henry, Zhu Zhu, Nan Sun, Seung‐Tak Ryu, Chia‐Hung Chen, Delong Cui, Gil Engel, Lukas Kull, Cisco Systems, Qiang Li, Filip Tavernier, Bin Saad, Jie Nasir, Yoonmyung Lee, Divya Prasad, Elkim Roa, Zhengya Zhang, Kaushik Sengupta, Sungwon Chung, Chul Kim, Shih‐Chii Liu, Kiichi Nitsu, Jong Seok Park, Mahsa Shoaran, Charles Augustine, Jaydeep P. Kulkarni, Luca Daniel, Xinfei Guo, Shanghai Jiao, Tong University, Mitsuhiko Igarashi, Siddharth Joshi, Shinya Kajiyama, Hitachi Jing, Jane Li, S.F. Zhang, Patrick P. Mercier, Yan Lu, Saurav Bandyopadhyay, Dina El-Damak, Rinkle Jain, Hyun‐Sik Kim, Hans Meyvaert, Jason T. Stauth, Xin Zhang, Debopriyo Chowdhury, Steven M. Bowers, Hamidreza Agahsi, Aritra Banerjee, Sudipto Chakraborty, Amr Fahim, Jane Broadcom, Swaminathan Sankaran, Julian Tham, Infineon Technologies, Yahya Tousi, Mayank Raj, Mozhgan Mansuri, Tejasvi Anand, Xi Chen, Nvidia Dickson, Ibm Watson, Xiang Gao, Tzu-Chien Hsueh, Victor C. Li, Zhichao Zhang

Bibliographic record

Venue2022 IEEE Custom Integrated Circuits Conference (CICC) · 2022
Typearticle
Languageen
Field
Topic
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.004
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.150
Threshold uncertainty score0.213

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.019
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0040.003
Science and technology studies0.0030.001
Scholarly communication0.0060.002
Open science0.0020.003
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.8500.842

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 head0.043
GPT teacher head0.263
Teacher spread0.220 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

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".

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Citations0
Published2022
Admission routes1
Has abstractno

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