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Record W11838842

Ancho de Pared de Dominio en Bicapas Ferromagnéticas

2009· article· en· W11838842 on OpenAlexaboutno aff
D. A. Monroy, Guillermo Alonso Fernández Mendoza

Bibliographic record

VenueRevista de la Sociedad Colombiana de Física · 2009
Typearticle
Languageen
FieldArts and Humanities
TopicArchaeological and Geological Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhysicsDomain (mathematical analysis)Domain wall (magnetism)MathematicsPhilosophyMathematical analysisMagnetic field
DOInot available

Abstract

fetched live from OpenAlex

espanolEste trabajo busca confirmar la hipotesis de la existencia de anchos variables de pared de dominio, originadas en la posi-cion de la pared respecto a defectos o centros de anclaje[1]. Para ello se emplea un sistema de bicapas ferromagneticas (FM) crecidas a los largo del eje x, con diferentes propiedades magnetocristalinas, y ejes de anisotropia paralelos. Para so-lucionar la estructura de pared de dominio se propone un modelo en el cual, la pared de ancho q puede estar localizada en p, con -�V EnglishThis work reports on the hypothesis about variable widths in domain wall due to the position of the wall regarding defects or pinning centers [1]. The considered system is a ferromagnetic bilayer grown along the x-axis. Different magnetocrystal-line parameters and parallel anisotropy axis have been taken into account. The domain wall of width q has been located at a p distance from the interface in the -�V

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.417
Threshold uncertainty score0.829

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0130.001

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 head0.015
GPT teacher head0.262
Teacher spread0.247 · 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 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

Citations0
Published2009
Admission routes1
Has abstractyes

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