MétaCan
Menu
Back to cohort
Record W644278956 · doi:10.3130/aijt.16.791

FUNDAMENTAL RESEARCH ON ARCHITECTURAL MONITORING SYSTEM COLLABORATE WITH ARDUINO, PACHUBE AND SKETCHUP

2010· article· en· W644278956 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

VenueAIJ Journal of Technology and Design · 2010
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicZiziphus Jujuba Studies and Applications
Canadian institutionsCégep de Lévis
Fundersnot available
KeywordsConstruct (python library)Linkage (software)ArduinoArchitectureService (business)Computer scienceCADEngineeringSystems engineeringSoftware engineeringEmbedded systemEngineering drawingComputer networkGeographyBusiness

Abstract

fetched live from OpenAlex

Recently, the use of sensor technology in the architecture discipline has been studied in various researches, but generally their instruments of the system aren’t spread. This is because of high cost of the systems, limited web service that can do comprehensive data management, and insufficient cooperation between CAD and these systems.For these issues, we can construct the Architectural Monitoring System, by using “Arduino” as hardware for sensing, “Pachube” as the tool of data management, and “Google Sketchup” as linkage system. This thesis has shown the system from getting data to visualizing, using these new ICT equipments.

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 score0.592
Threshold uncertainty score0.357

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 integrity0.0000.001
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 head0.046
GPT teacher head0.291
Teacher spread0.245 · 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