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Record W4406691509 · doi:10.1017/9781108686631.010

Role of Pre-tectonic Heat Flow in Thermal Regimes

2025· book-chapter· en· W4406691509 on OpenAlexaff

Bibliographic record

VenueCambridge University Press eBooks · 2025
Typebook-chapter
Languageen
FieldEngineering
TopicHydrocarbon exploration and reservoir analysis
Canadian institutionsGeoscience BC
Fundersnot available
KeywordsHeat flowMechanicsFlow (mathematics)TectonicsThermalGeologyMaterials scienceThermodynamicsSeismologyPhysics

Abstract

fetched live from OpenAlex

This chapter goes through a list of potential thermal regimes occurring prior to the development of the strike-slip setting or transform margin. These have a strong impact on the thermal regime among all controlling factors. This is due to the fact that the thermal regime affects the host continental lithosphere in many different aspects, such as its thickness, metamorphic reactions, melt formation, rheological zonation, and mechanical behavior. Following a brief summary of basic concepts of heat transport and generation, and heat flow presently observed at the Earth’s surface, the chapter discusses thermal regimes and temperature distribution with depth that can exist in continental lithosphere affected by transform margin formation. It sets the stage for the subsequent evolution, which is strongly dependent on the initial subsurface temperature field. Although this influence progressively diminishes as the transform margin evolves, the knowledge of pre-existing thermal regimes may also help to understand spatial variations along a specific transform margin segment and present-day differences between transform margins.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.007
GPT teacher head0.175
Teacher spread0.167 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2025
Admission routes1
Has abstractyes

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