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A Portrait of Nanomedicine and its Bioethical Implications

2012· article· en· W1517293257 on OpenAlexaboutno aff
Rebecca M. Hall, Tong Sun, Mauro Ferrari

Bibliographic record

VenueThe Journal of Law Medicine & Ethics · 2012
Typearticle
Languageen
FieldEngineering
TopicNanotechnology research and applications
Canadian institutionsnot available
FundersNational Human Genome Research Institute
KeywordsBeneficenceNanomedicineBioethicsEngineering ethicsEconomic JusticePerspective (graphical)MedicinePolitical scienceNanotechnologyAutonomyEngineeringComputer scienceMaterials scienceLaw

Abstract

fetched live from OpenAlex

While the definitions employed by different governmental agencies and scientific societies differ somewhat, the term “nanotechnology” is generally understood to refer to the manufacturing, characterization, and use of man-made devices with dimensions on the order of 1-100 nanometers (1 nanometer [nm] = 1 billionth of a meter). Devices that comprise a fundamental functional element that is nanotechnological are also frequently comprised within nanotechnology, as are manufactured objects with dimensions less than one micrometer. The differences in definition lead to occasional paradoxes, such as the fact that the most widely used nanodrug (albumin nanoparticles of dimensions up to 300 nm, comprising the anticancer drug paclitaxel) is labeled a “nanopharmaceutical” by governments of European countries, Canada, and Australia, but it is not a nanotechnology for the U.S. Food and Drug Administration (FDA). It is also common in scientific domains to restrict the term “nanotechnology” to objects that possess special, “emerging” properties that only arise because of their nanoscale dimension.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.535
Threshold uncertainty score0.652

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.117
GPT teacher head0.386
Teacher spread0.269 · 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 designTheoretical or conceptual
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

Citations23
Published2012
Admission routes1
Has abstractyes

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