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Record W3166159202 · doi:10.22215/etd/2016-11291

Experimental and Modelling Study of a Geodesic Dome Solar Greenhouse System in Ottawa

2016· dissertation· en· W3166159202 on OpenAlex
Paula Claudino

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicGreenhouse Technology and Climate Control
Canadian institutionsMcMaster UniversityCarleton University
Fundersnot available
KeywordsTRNSYSMeteorologyEnvironmental scienceGreenhouseEngineeringSimulationMarine engineeringThermalGeography

Abstract

fetched live from OpenAlex

A building model was created in TRNSYS 17 to determine whether appropriate growing conditions can be maintained in a geodesic dome greenhouse in Ottawa, Canada, without the use of auxiliary power or heating. A microcontroller, the Arduino UNO, is used as the data collection device. In order to test the effects of ventilation, thermal mass, and solar panel shading on both the modelled and the measured results, combinations of these variables were used to create five operating scenarios. The model was calibrated and run under each of these scenarios, using actual 2015 weather data, and was also run for a full year using the CWEC weather data to compare the performance of each scenario for a typical weather year. The results indicate that air temperatures are expected to exceed acceptable ranges during a typical weather year, which indicates that further efforts will be required to heat and cool the Biodome.

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 score0.763
Threshold uncertainty score0.486

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 head0.016
GPT teacher head0.228
Teacher spread0.212 · 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