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Record W2009530634 · doi:10.5539/esr.v1n2p315

Influence of Membrane Stress on Seafloor Spreading Driven by Tide-generating Force

2012· article· en· W2009530634 on OpenAlexvenueno aff
Long Chen, Jianguo Chen, Qinghai Xu, Wei Guo, Dong Ma, Guoling Zhang, Jinsong Liu, Shuang Liang, Lixue Wei

Bibliographic record

VenueEarth Science Research · 2012
Typearticle
Languageen
FieldEngineering
TopicUnderwater Vehicles and Communication Systems
Canadian institutionsnot available
FundersNational Natural Science Foundation of ChinaNational Science Foundation
KeywordsGeologyGeophysicsCrustSeafloor spreadingPlate tectonicsConvectionContinental driftMantle (geology)Tidal forceMantle convectionTectonicsContinental crustSeismologyPlanetPerturbation (astronomy)MechanicsLithospherePhysicsAstronomy

Abstract

fetched live from OpenAlex

Although Alfred Lothar Wegener proposed his continental drift hypothesis more than 100 years ago, there has been constant contention regarding the driving source of plate motions. The current geodynamic theory is mainly based on traditional mechanics. The crust is extremely thin in comparison to the earth’s radius, which may be caused by a more complex mechanical system: the mechanics of shells. The mechanics of shells reveals the mechanical effect of the tide-generating force on the earth’s crust. We present a formula that can be used to calculate the membrane stress resulting from the fluctuation of the mantle tide wave in the crust and estimate its magnitude. Although the tidal force is small, the membrane stress is high. Our investigation suggests that the membrane stress is the fundamental reason for rifting and rupture processes at mid-ocean ridges. It is thus the dynamic source for seafloor spreading and plate motion, which offers a reasonable interpretation of various significant problems that are unexplained by mantle convection theory. And there must be the plate tectonics affected by the tidal force is in the terrestrial planets or other celestial bodies.

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)0.002
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 score0.024
Threshold uncertainty score0.294

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.049
GPT teacher head0.327
Teacher spread0.279 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations0
Published2012
Admission routes1
Has abstractyes

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