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Record W1980980179 · doi:10.1029/2004eo050007

Comparative studies to be a theme for the Joint Assembly in Montreal

2004· article· en· W1980980179 on OpenAlexaboutno aff
M. Mendillo, G. Schubert, Joan Alexander, R. J. Strangeway

Bibliographic record

VenueEos · 2004
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicOceanographic and Atmospheric Processes
Canadian institutionsnot available
Fundersnot available
KeywordsPlanetSolar SystemAstrobiologyAtmosphere (unit)GeophysicsPhysicsAstronomyMeteorology

Abstract

fetched live from OpenAlex

To have a truly global view of geophysical systems, it helps to have a few globes to view. Our solar system offers a rich set of case studies on how environmental systems form and evolve. The temperature structures of atmospheres, their circulation patterns, and their optical emissions are governed by the same basic laws of physics and photochemistry, but with constituents and solar flux input values that vary dramatically over the span of the planets. The escape of gases from the Earth and those planets and moons with dense atmospheres involve processes rather different from those associated with sputtered gases from the far more abundant regoliths of rock and ice. The origins and dynamics of plasmas and magnetic fields, their interactions with the flowing solar wind and/or rapidly rotating planetary fields, and episodic “space weather” events provide additional areas of common science in remarkably different settings.The Earth and its companions thus comprise the only known set of experiments in planetary formation for which there is actual data to validate and to challenge theory and computer models. While observations are abundant for Earth, and beyond the “discovery mode” set for many of the planets and moons, there remain crucial gaps in our understanding and formidable problems to solve at each of these worlds. Coupling processes, perhaps most of all, from regions below and above the environmental systems being studied are at the forefront of current work, drawing attention to the need for advanced observational capabilities and breakthroughs in computer simulation techniques.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.566
Threshold uncertainty score0.980

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 head0.076
GPT teacher head0.288
Teacher spread0.212 · 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 designObservational
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

Citations2
Published2004
Admission routes1
Has abstractyes

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