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Thermal Properties of Compost Biocover Subjected to Freeze-Thaw Cycles

2018· article· en· W2802175265 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 Cold Regions Engineering · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicComposting and Vermicomposting Techniques
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsCompostThermalEnvironmental scienceGeotechnical engineeringMaterials scienceGeologyWaste managementMeteorologyEngineeringGeography

Abstract

fetched live from OpenAlex

In this paper, the key heat-transfer parameters, thermal conductivity, and thermal diffusivity of biocover material made of compost subjected to freeze-thaw cycles (FTCs) for a wide range of water contents is investigated by means of the transient method. The samples were kept at −12°C to freeze and at room temperature (23°C) to thaw. The results obtained show that FTCs have an impact on the thermal properties of compost biocovers. However, more than approximately 70% of the total thermal conductivity changes occurred in the first two FTCs. Moreover, it was found that a linear relation between thermal conductivity and degree of saturation is valid even under FTCs. Furthermore, variations in the thermal properties are due to the combined effect of three factors: volume change, grain-size distribution, and crack formation. Finally, an empirical equation has been developed to predict thermal conductivity changes versus FTCs.

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 score0.077
Threshold uncertainty score0.174

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 head0.023
GPT teacher head0.210
Teacher spread0.186 · 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