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Record W2588137989 · doi:10.3130/aije.71.39_5

MEASUREMENT AND MODEL EXPERIMENT OF AIR TEMPERATURE DISTRIBUTION IN NATURAL CONVECTION BY HOT WATER FLOOR HEATING SYSTEM

2006· article· en· W2588137989 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

VenueJournal of Environmental Engineering (Transactions of AIJ) · 2006
Typearticle
Languageen
FieldEnergy
TopicEnergy, Environment, Agriculture Analysis
Canadian institutionsCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsCeiling (cloud)Environmental scienceHeating systemNatural convectionClearanceMeteorologyConvectionAir temperatureScale modelWarm frontAtmospheric sciencesGeologyEngineeringMechanical engineeringGeography

Abstract

fetched live from OpenAlex

Floor heating systems are recently coming into wide use in general Japanese houses. To apply the floor heating systems not only to general houses, but also to high-ceiling houses and large-scale facilities, we must clarify indoor air-temperature distributions and its formation processes in various shape and scale buildings with heating systems. We thus measured vertical air-temperature distributions at three actual houses of different ceiling heights, i.e., one storied house, house with an atrium, and gymnasium with hot-water floor heating systems. Moreover we cleared the air-temperature distribution in a general room with the floor heating system and its formation process by model experiment. Consequently, the followings were revealed regarding the houses. 1. Although the ceiling heights were different, the air-temperature distributions of the houses and model with the hot-water heating-floor systems were similar. 2. The temperature difference in vertical direction was small.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.437
Threshold uncertainty score0.629

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 head0.002
GPT teacher head0.153
Teacher spread0.151 · 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