MétaCan
Menu
Back to cohort
Record W2937813638 · doi:10.1038/s41586-019-1163-x

Publisher Correction: Martian dust storm impact on atmospheric H2O and D/H observed by ExoMars Trace Gas Orbiter

2019· erratum· en· W2937813638 on OpenAlexaff
Ann Carine Vandaele, Oleg Korablev, Frank Daerden, Shohei Aoki, Ian Thomas, Francesca Altieri, M. Á. López‐Valverde, Gerónimo Villanueva, Giuliano Liuzzi, M. D. Smith, Justin Erwin, Loïc Trompet, Anna Fedorova, Franck Montmessin, Аlexander Trokhimovskiy, Denis Belyaev, N. Ignatiev, Mikhail Luginin, Kevin Olsen, Lucio Baggio, Juan Alday, Jean-Loup Bertaux, Daria Betsis, David Bolsée, R. T. Clancy, E. A. Cloutis, C. Depiesse, B. Funke, Maya Garcı́a-Comas, Jean‐Claude Gérard, M. Giuranna, Francisco González‐Galindo, A. Grigoriev, Y. S. Ivanov, J. W. Kaminski, Özgür Karatekin, Franck Lefèvre, S. R. Lewis, M. López‐Puertas, A. Mahieux, Igor Maslov, Jon Mason, M. J. Mumma, Lori Neary, Eddy Neefs, Andrey Patrakeev, Dmitry Patsaev, Bojan Ristic, Séverine Robert, Frédéric Schmidt, Alexey Shakun, N. A. Teanby, S. Viscardy, Yannick Willame, J. A. Whiteway, V. Wilquet, M. J. Wolff, G. Bellucci, Manish Patel, J. J. López‐Moreno, F. Forget, Colin Wilson, Roland Young, H. Svedhem, Jorge L. Vago, D. Rodionov

Bibliographic record

VenueNature · 2019
Typeerratum
Languageen
FieldPhysics and Astronomy
TopicPlanetary Science and Exploration
Canadian institutionsYork UniversityUniversity of Winnipeg
FundersScience and Technology Facilities Council
KeywordsMartianOrbiterAstrobiologyMars Exploration ProgramAtmosphere of MarsTRACE (psycholinguistics)Dust stormEnvironmental scienceTrace gasStormMeteorologyAtmospheric sciencesGeologyPhysicsAstronomyPhilosophy

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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 categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.466
Threshold uncertainty score1.000

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0010.000

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 head0.009
GPT teacher head0.221
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; both teacher heads agree on what is shown here.

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

Citations8
Published2019
Admission routes1
Has abstractno

Explore more

Same venueNatureSame topicPlanetary Science and ExplorationFrench-language works237,207