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Thermodynamic Calculations Support a Rain Cloud Model of Chondrule Formation

2023· article· en· W4313593043 on OpenAlexaff
Arthur D. Pelton

Bibliographic record

VenueACS Earth and Space Chemistry · 2023
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAstro and Planetary Science
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsChondruleMeteoriteChondriteAnorthiteNebulaSilicateFormation and evolution of the Solar SystemThermodynamic equilibriumMaterials scienceAstrobiologyThermodynamicsMineralogyGeologyPhysicsAstrophysicsAstronomy

Abstract

fetched live from OpenAlex

High Resolution Image Download MS PowerPoint Slide Thermodynamic calculations using the critically evaluated and optimized FactSage databases lead to the conclusion that chondrules of all types were formed from a “rain cloud” of undercooled liquid oxide droplets that were in equilibrium with the solar nebula. The droplets subsequently solidified rapidly and stochastically in the temperature and pressure gradients of the nebula to form solid chondrules that retained the compositions of the liquid droplets and thereafter were no longer in thermodynamic equilibrium with the nebular gas. This provides a simple unified model for the formation of chondrules in all chondrite meteorites including chondrule-like calcia alumina inclusions, anorthite-rich chondrules, and magnesio-silicate chondrules. Other models of chondrule formation, including the currently favored models of melting of pre-existing solids, are not consistent with thermodynamic calculations.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0000.000
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 head0.009
GPT teacher head0.207
Teacher spread0.198 · 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 designSimulation or modeling
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
Published2023
Admission routes1
Has abstractyes

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