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Record W4233421889 · doi:10.1109/embc.2015.7318239

Engineering in medicine and biology society

2015· article· en· W4233421889 on OpenAlexaff
Khaled Sayed, Lucas Massaroppe, Hui-Ling Chan, Christopher C. Cline, Siavash Ghaffari, Javier Hernandez, Daniel Oloumi, Amanda Shultz, Quang Vo, Mark Zapf, Xinran Zhang, Tobias Barker, B. F. Crocker, Erica Forzani, Jim Gallarda, William Heetderks, Bernard Weigl, Laura Wolf, Joe Reinhardt, Bram van Ginneken, Franjo Pernuš, Punam K. Saha, Mathews Jacob, Arrate Muñoz‐Barrutia, Zoltán Szabó, Radim Krupička, Michal Kozubek, İpek Oğuz, Tomaž Vrtovec, Jiří Jan, Jiřı́ Janáček, Lucie Kubínová, Pavel Tomančák, Eduardo Romero, Juan David, Jan Petr, Michal Sofka, Janice Sandler

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicBiomedical and Engineering Education
Canadian institutionsUniversity of AlbertaMcGill University
Fundersnot available
KeywordsCzechCenter (category theory)AccommodationLibrary scienceArt historyHistoryEngineeringComputer science

Abstract

fetched live from OpenAlex

ISBI 2016 will be held in the 4-star Clarion Congress Hotel Prague, one of the most modern congress hotels in Prague, Czech Republic. The hotel has space for up to 2500 delegates and a corresponding accommodation capacity, including a wellness and fitness center. It takes less than 15 minutes by Underground to reach the historical center of Prague, a UNESCO Heritage Site. Do not miss Prague's world-famous Old Town Square, Charles Bridge, and Prague Castle.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.775
Threshold uncertainty score0.168

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.040
GPT teacher head0.259
Teacher spread0.219 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

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

Citations10
Published2015
Admission routes1
Has abstractyes

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