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Record W2789629899 · doi:10.1088/2058-6272/aaa7e8

OEDGE modeling of plasma contamination efficiency of Ar puffing from different divertor locations in EAST

2018· article· en· W2789629899 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.

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

Bibliographic record

VenuePlasma Science and Technology · 2018
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsUniversity of Toronto
FundersHefei Science Center, Chinese Academy of SciencesInstitute of Plasma Physics, Chinese Academy of SciencesChinese Academy of SciencesNational Natural Science Foundation of China
KeywordsDivertorContaminationPlasmaEnvironmental scienceChemistryPhysicsNuclear physicsBiologyTokamakEcology

Abstract

fetched live from OpenAlex

OEDGE modeling of plasma contamination efficiency of Ar puffing from different divertor locations in EAST, ZHANG, Pengfei, ZHANG, Ling, WU, Zhenwei, XU, Zong, GAO, Wei, WANG, Liang, YANG, Qingquan, XU, Jichan, LIU, Jianbin, QU, Hao, LIU, Yong, HUANG, Juan, WU, Chengrui, HOU, Yumei, JIN, Zhao, ELDER, J D, GUO, Houyang

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)0.000
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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.821
Threshold uncertainty score0.868

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.014
GPT teacher head0.247
Teacher spread0.233 · 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