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Record W4247266486 · doi:10.1089/adt.2011.0431

The Ninth Annual Ion Channel Retreat, Vancouver, Canada, June 27–29, 2011

2011· article· en· W4247266486 on OpenAlexaffabout
Saranna Brugger, Marco Garate, Gina Papaianni, Maria Volnoukhin, Chris Zhan, Sikander Gill, Sophia Liang, Liang Dong

Bibliographic record

VenueAssay and Drug Development Technologies · 2011
Typearticle
Languageen
FieldEngineering
TopicAdvanced Chemical Sensor Technologies
Canadian institutionsAurora College
Fundersnot available
KeywordsIon channelChannel (broadcasting)Function (biology)Library sciencePolitical scienceTelecommunicationsMedicineEngineeringComputer scienceBiologyEvolutionary biology

Abstract

fetched live from OpenAlex

Nine years ago Aurora Biomed Inc. (Vancouver, Canada) committed to gathering the brightest minds and the most innovative research companies at one conference. The Ion Channel Retreat provides a podium for scientific discourse spanning a wide range of ion channel disciplines. This conference has consistently provided a venue for people to share knowledge, exchange ideas, and establish partnerships. This conference continues to expand and grow each year, demonstrating the value of such a conference. Attendees at the 2011 Ion Channel retreat presented ion channel research from 12 different countries, representing research groups located on 5 of the 7 continents. Aurora Biomed's 2011 Retreat covered a variety of topics including Ion Channels as Disease Targets, Ion Channels as Pain Targets, TRP-channels, Ion Channel Screening Technologies, Cardiac Function and Pharmacology, Cardiac Safety and Toxicology, and Structure and Function of Ion Channels.

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)0.002
metaresearch head score (Gemma)0.003
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 score0.801
Threshold uncertainty score0.598

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0050.001
Scholarly communication0.0050.001
Open science0.0020.003
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.1790.095

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 head0.007
GPT teacher head0.166
Teacher spread0.159 · 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
Published2011
Admission routes2
Has abstractyes

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