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Record W1985262069 · doi:10.1517/17425247.1.1.177

Medical and pharmaceutical nanoengineering conference/International conference on MEMS, nano and smart systems

2004· article· en· W1985262069 on OpenAlexaffabout
Warren H. Finlay, Walied A. Moussa

Bibliographic record

VenueExpert Opinion on Drug Delivery · 2004
Typearticle
Languageen
FieldEngineering
TopicMicrofluidic and Bio-sensing Technologies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsNanotechnologyNanoengineeringNanomedicineComputer scienceNanoparticleMaterials science

Abstract

fetched live from OpenAlex

Researchers representing all the northern hemispheric continents gathered for 3 days in Banff, Canada, to hear a wide range of talks on the application of micro- and nanotechnology to drug delivery. Topics included nanotubes, nanoparticles, liposomes, micelles, novel inhaled aerosols, antibody engineering and vaccines. Also featured were talks on the application of micro- and nanotechnology to diagnostics, including microfluidics, as well as biomolecular computing. The conference showcased the first demonstration of preliminary concepts for "smart particle aerosols", in which nanofabrication methods are used to produce inhaled aerosol particles with "intelligent" features. The conference provided an excellent forum for cross-fertilisation and discussion between disciplines, with attendees covering a broad range of areas in engineering and the physical and life sciences that are not often found together at a single conference. This breadth of attendees and topics provided a highly stimulating environment. An invitation to next year's conference (24-29 July 2005, Banff, Alberta, Canada) was extended, as listed at the conference website [101].

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.381
Threshold uncertainty score0.782

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 head0.033
GPT teacher head0.275
Teacher spread0.241 · 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 designBench or experimental
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

Citations2
Published2004
Admission routes2
Has abstractyes

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