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Record W4381416012 · doi:10.1109/mssc.2023.3269335

IEEE SSCS Toronto Chapter Holds First In-Person Wireline Workshop [Chapters]

2023· article· en· W4381416012 on OpenAlexaboutno aff
Dustin Dunwell

Bibliographic record

VenueIEEE Solid-State Circuits Magazine · 2023
Typearticle
Languageen
FieldEngineering
TopicAdvanced Data and IoT Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsEvent (particle physics)WirelineFace (sociological concept)Coronavirus disease 2019 (COVID-19)TelecommunicationsMedia studiesHistoryLibrary scienceEngineeringComputer scienceSociologyMedicineSocial science

Abstract

fetched live from OpenAlex

The event began with handshakes and catching up with friends and peers who had not seen one another face to face since the COVID-19 pandemic started. The IEEE Solid-State Circuits Society (SSCS) Toronto Chapter last held an in-person event in October 2019. Judging by the smiles and record number of attendees (over 70) at this event, there was high demand for nonvirtual activities to restart in the Toronto area. All that people needed to motivate them to leave their home office was some free refreshments and an incredible lineup of talented local speakers.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.333
Threshold uncertainty score0.951

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0040.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.3330.153

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 head0.032
GPT teacher head0.265
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.

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
Published2023
Admission routes1
Has abstractyes

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