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Record W2126611267 · doi:10.1093/ijlct/cts052

Energy efficiency assessment of integrated and nonintegrated solar ponds

2012· article· en· W2126611267 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueInternational Journal of Low-Carbon Technologies · 2012
Typearticle
Languageen
FieldEnergy
TopicSolar-Powered Water Purification Methods
Canadian institutionsOntario Tech University
FundersYükseköğretim KuruluUniversity of Ontario Institute of Technology
KeywordsPosition (finance)Environmental scienceSolar poweredSolar energyMeasure (data warehouse)Maximum temperatureEnergy (signal processing)Atmospheric sciencesMathematicsComputer sciencePhysicsEngineeringElectrical engineeringStatisticsDatabase

Abstract

fetched live from OpenAlex

In this study, an experimental investigation of temperature distribution and efficiencies in conventional solar pond (SP) and integrated SP (ISP) systems is presented. Several temperature-measuring sensors connected to a data acquisition system are used to measure the temperature changes with respect to time and position. In addition, the monthly stored energies of SP and ISP are determined. The maximum and the minimum energy efficiencies of the SP and ISP are observed for the months of August as 28.41 and 33.55% and January as 8.28 and 9.48%, respectively. These then confirm that the SP storage efficiency can be increased by integrating the system with solar collectors.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.381
Threshold uncertainty score0.721

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.306
Teacher spread0.291 · 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