MétaCan
Menu
Back to cohort
Record W3151617451

Research on Wet Steam Spontaneous Condensing Flows Considering Phase Transition and Slip

2013· article· en· W3151617451 on OpenAlexaboutno aff
Ke, Cui, Huan-Long, Chen, Yanping, Song, Hiroharu, Oyama

Bibliographic record

Venue热科学学报:英文版 · 2013
Typearticle
Languageen
FieldChemistry
TopicPetroleum Processing and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsSlip (aerodynamics)MechanicsMaterials scienceThermodynamicsPhase transitionEnvironmental sciencePhysics
DOInot available

Abstract

fetched live from OpenAlex

新双液体的模型考虑阶段转变和速度滑动的 A 在这篇论文被建议,坎宁安修正在微滴抵抗计算被使用。这个双液体的模型分别地在一张 2D LAVAL 嘴并且在白串联被用于湿蒸气流动的数字模拟。二模拟的结果证明模型是可靠的。同时,在白串联的自发的压缩流动被分析,当损失由速度引起了时,不可逆的损失在全部的压力损失为最大的份额(大约8.78%入口总数压力)由冷凝作用报道引起了,这推断当损失由速度引起了时滑倒拿最小的份额(将近0.42%),并且灵魂因素引起的全部的压力损失的另一部分比冷凝作用贡献更少份额,即几乎3.95%入口总计压力。

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 score0.003
Threshold uncertainty score0.010

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 studies0.0010.001
Scholarly communication0.0010.003
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.042
GPT teacher head0.327
Teacher spread0.285 · 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
Published2013
Admission routes1
Has abstractyes

Explore more

Same venue热科学学报:英文版Same topicPetroleum Processing and AnalysisFrench-language works237,207