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Record W4302379053

MODELOS GEOMÉTRICOS EN EL ESTUDIO DE NANOTUBOS DE CARBONO

2010· article· en· W4302379053 on OpenAlex
Guillermo A. Guirales, Ricardo Pérez, Boris A. Rodríguez

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueDialnet (Universidad de la Rioja) · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicKnowledge Societies in the 21st Century
Canadian institutionsMcMaster University
Fundersnot available
KeywordsComputer science
DOInot available

Abstract

fetched live from OpenAlex

Carbon nanotubes have become in the last two decades in greatest elements both in theoretical investigation as technological developments. From theoretical point of view, a model is necessary that describe on the best possible its physical properties, thus an approximation to the geometry is important for a physical description. In this paper in addition to a geometric model revision to the nanotube, we are going to do a description to the most interesting technological developments. In the theoretical models of nanotube geometric description, the first is the called zone folding method. This method consist in deal the nanotube like a mesh piece of graphen to which is given a periodicity conditions, so when it is folded it reproduce all the carbon atoms positions. The second method, consist in propose the atoms in the nanotube like places in a cylindrical structure. In this model the vectors used to the description are obtained from the particular geometry in each nanotube and write them in cylindrical coordinates. Finally, the third method is based in the nanotube description from all its possible symmetries, dealing the nanotube as a structure that has a particular symmetry along one direction.

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.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.708
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.008
GPT teacher head0.277
Teacher spread0.270 · 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