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Record W2807012805 · doi:10.11159/ffhmt18.174

Flow Boiling Characteristics of R245fa in a Plate and Shell Heat Exchanger

2018· article· en· W2807012805 on OpenAlex
Kang Sub Song, Junyub Lim, Sungho Yun, Junho Kwon, Yongchan Kim

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.

venuePublished in a venue whose home country is Canada.
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

VenueProceedings of the ... International Conference on Fluid Flow, Heat and Mass Transfer · 2018
Typearticle
Languageen
FieldEngineering
TopicEngineering Applied Research
Canadian institutionsnot available
FundersKorea Evaluation Institute of Industrial Technology
KeywordsShell and tube heat exchangerBoilingHeat exchangerPlate fin heat exchangerMechanicsPlate heat exchangerFlow (mathematics)Materials scienceShell (structure)Flow boilingHeat transferNucleate boilingThermodynamicsPhysicsHeat transfer coefficientComposite material

Abstract

fetched live from OpenAlex

Recently, environmental and energy regulations are being strengthened all over the world. In this environment, various studies have being conducted to utilize the high-temperature waste heat abandoned in industrial fields. Therefore, the selection of a heat exchanger suitable for high-temperature applications is essential. A plate and shell heat exchanger (PSHE) is a heat exchanger that combines the advantages of a shell and tube heat exchanger and a plate heat exchanger. It is suitable for use in such high-temperature conditions and has high thermal efficiency.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.670
Threshold uncertainty score0.538

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.020
GPT teacher head0.235
Teacher spread0.214 · 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