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Record W2801101504 · doi:10.31214/ijthfa.v1i1.17

International Heat Flow Commission: History and Accomplishments over the last fifty-five years

2018· article· en· W2801101504 on OpenAlexaff
V. Čermák, Alan E. Beck, Valiya M. Hamza

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnergy
TopicGeothermal Energy Systems and Applications
Canadian institutionsWestern University
Fundersnot available
KeywordsGeothermal heatingGeothermal gradientGeologyGeophysicsEarth scienceInternal heatingCrustGeothermal energyEarth historyHeat flowEnvironmental scienceThermalMeteorologyMechanicsGeographyPaleontology

Abstract

fetched live from OpenAlex

The study of the earth's internal heat plays an important role in understanding the Earth's origin, internal constitution, and plate tectonics. The outflow of heat from the Earth's interior is, energy-wise, the most impressive terrestrial phenomenon. The present rate of heat loss is estimated to be about 1021 joules per year, which is orders of magnitude greater than the energy dissipation of earthquakes or heat loss from volcanic eruptions. Knowledge of terrestrial heat flow is essential in investigating the internal thermal field of the Earth. Initially focus has been on measurements of underground temperatures and thermal properties of geologic materials, assessment of sources and sinks of heat, institution of global data base, development of thermal models of crust and qualification of geothermal energy resources. During later stages, other implications of heat flow studies has also been recognized in fields such as paleoclimatology, global warming, exploration geophysics and hydrogeology. The International Heat Flow Commission – IHFC plays a guiding role in development of such investigations.

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.

How this classification was reachedexpand

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.705
Threshold uncertainty score0.996

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)0.0050.000

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 head0.015
GPT teacher head0.238
Teacher spread0.223 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2018
Admission routes1
Has abstractyes

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