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Modelo estadístico de la distribución de materia de los discos protoplanetarios

2018· article· es· W2907639433 on OpenAlex

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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCIENCIA EN DESARROLLO · 2018
Typearticle
Languagees
FieldEngineering
TopicSpace Exploration and Technology
Canadian institutionsnot available
FundersInternational Council for Canadian StudiesUniversidad Pedagógica y Tecnológica de Colombia
KeywordsHumanitiesPhysicsArtGeography

Abstract

fetched live from OpenAlex

En la mayoría de modelos de discos protoplanetarios se tiene una distribución continua de gas y polvo, con una dinámica que da origen a los planetas, los cuales en el proceso de formación, hacen surcos en el disco al capturar gravitacionalmente la materia existente a su alrededor. Los discos de transición son una clase de disco protoplanetario que se caracterizan por tener una gran cavidad libre de gas y polvo en su interior. En este artículo se propone un modelo estadístico basado en los discos de transición, el cual se extiende a los discos protoplanetarios. Con este modelo se pueden realizar simulaciones dinámicas de formación planetaria usando pocos parámetros. Se muestra el proceso seguido para simular el disco de transición DoAr44 y el disco protoplanetario Hl-Tauri. A diferencia de otros modelos, la formación de cuerpos planetarios es más rápida.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.634
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
Research integrity0.0010.000
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 head0.006
GPT teacher head0.261
Teacher spread0.255 · 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