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Record W2020402873 · doi:10.1089/adt.2012.494

The Tenth Annual Ion Channel Retreat, Vancouver, Canada, June 25–27, 2012

2013· article· en· W2020402873 on OpenAlexaffabout
Lynn Kimlicka, Ashley Lauren Jamieson, Sophia Liang, Saranna Brugger, Dong Liang

Bibliographic record

VenueAssay and Drug Development Technologies · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicIon channel regulation and function
Canadian institutionsAurora CollegeUniversity of British Columbia
Fundersnot available
KeywordsIon channelChannel (broadcasting)Function (biology)Event (particle physics)TelecommunicationsMedicineEngineeringPhysicsBiologyInternal medicine

Abstract

fetched live from OpenAlex

Ten years after Aurora Biomed (Vancouver, British Columbia, Canada) hosted the inaugural Ion Channel Retreat, this event is recognized as a leading conference for ion channel researchers. Held annually in Vancouver, this meeting consistently provides an outlet for researchers to share their findings while learning about new concepts, methods, and technologies. Researchers use this forum to discuss and debate a spectrum of topics from ion channel research and technology to drug discovery and safety. The Retreat covered key subjects in the ion channel industry, including ion channels as disease targets, transient receptor protein channels as pain and disease targets, ion channels as pain targets, ion channel structure and function, ion channel screening technologies, cardiac safety and toxicology, and cardiac function and pharmacology.

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 score0.294
Threshold uncertainty score0.584

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 studies0.0060.001
Scholarly communication0.0050.001
Open science0.0020.003
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.1340.057

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 head0.005
GPT teacher head0.183
Teacher spread0.178 · 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
Published2013
Admission routes2
Has abstractyes

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