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Record W4381513002 · doi:10.21203/rs.3.rs-3063497/v1

Ceres—No further organic-rich sites: Implications for its evolution

2023· preprint· en· W4381513002 on OpenAlexafffund
A. Nathues, E. A. Cloutis, M. Hoffmann, Pragya Singh, G. Thangjam, J. Hernandez, R. Sarkar

Bibliographic record

VenueResearch Square · 2023
Typepreprint
Languageen
FieldPhysics and Astronomy
TopicAstro and Planetary Science
Canadian institutionsUniversity of Winnipeg
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Space AgencyMax-Planck-Gesellschaft
KeywordsContext (archaeology)Impact craterTotal organic carbonCarbon fibersSpectral lineEarth scienceAstrobiologyCrustGeologySpectral propertiesMineralogyChemistryGeochemistryPaleontologyMaterials scienceEnvironmental chemistryPhysicsAstronomy

Abstract

fetched live from OpenAlex

Abstract Ceres—a potential ocean world—displays multiple signs of recent/current geological activity. There are indications of a high carbon content in its crust, but the exact form of this carbon is elusive. Spectral data acquired by NASA’s Dawn mission revealed local occurrences of aliphatic organics, which are also characterized by spectral redness in the wavelength range between 0.4 and 0.9 µm. But ambiguities in the geologic context led to uncertainties in whether the organics are endogenic or in-fall deposits. Our global search for similar red-sloped spectra reveals that there are no further sites with a detectable amount of organic material; but this observation cannot be extended to imply their complete absence outside the known areas. In addition, there is another surface type that displays red-sloped spectra; but instead of organics, the redness is due to the ongoing exposure of fresh, hydrated materials on the walls and floors of mid-latitude craters.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0050.001

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 head0.112
GPT teacher head0.394
Teacher spread0.282 · 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 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

Citations0
Published2023
Admission routes2
Has abstractyes

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