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Record W2069178243 · doi:10.4236/ti.2013.42010

Study on the Relationship between Aspects, Orientation,Type, and Unit Position toward to Indoor Air Quality in Flat

2013· article· en· W2069178243 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.

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

VenueTechnology and Investment · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicArchitectural and Urban Studies
Canadian institutionsnot available
Fundersnot available
KeywordsVariable (mathematics)Position (finance)Orientation (vector space)CovarianceThermal comfortAnalysis of covarianceVariablesThermalEnvironmental scienceComputer scienceArchitectural engineeringMathematicsStatisticsEngineeringBusinessMeteorologyGeometryPhysics

Abstract

fetched live from OpenAlex

Thermal factor is one of the main factors of the green building concept. The purpose of this research is to test building performance through design aspect that influences thermal comfort, the design aspects include: orientation, building type, and position of the flat. Method used in this research is covariance analysis, testing the influence of factor variable toward respond variable (indoor temperature) with taking outdoor temperature as concomitant variable. The cases tested on this research are Cigugur Tengah, Industri Dalam, and Sarijadi flats. Result of covariance analysis shows that the building orientation factor variable is most influentially variable toward thermal comfort, compared with building type factor variable; even the unit position factor variable has no significant influence toward thermal comfort.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.398
Threshold uncertainty score0.261

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 head0.125
GPT teacher head0.306
Teacher spread0.181 · 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