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Neogene tectonic and climatic evolution of the Western Ross Sea, Antarctica — Chronology of events from the AND-1B drill hole

2012· article· en· W1999841784 on OpenAlexaff
G. S. Wilson, Richard Levy, T. Naish, Ross D. Powell, Fabio Florindo, Christian Ohneiser, Leonardo Sagnotti, Diane Winter, Rosemary Cody, Stuart Henrys, Jake Ross, L.A. Krissek, Frank Niessen, Massimo Pompillio, Reed P. Scherer, Brent V. Alloway, P. J. Barrett, Stefanie Brachfeld, Greg H. Browne, Lionel Carter, Ellen A. Cowan, James S. Crampton, Robert M. DeConto, Gavin Dunbar, Nelia Dunbar, Robert B. Dunbar, Hilmar von Eynatten, Catalina Gebhardt, Giovanna Giorgetti, Ian Graham, Dhiresh Hansaraj, David M. Harwood, Linda A. Hinnov, Richard D. Jarrard, Leah Joseph, Michelle A. Kominz, Gerhard Kühn, Philip R. Kyle, Andreas Läufer, William C. McIntosh, Robert M. McKay, P. Maffioli, Diana Magens, Christina Millan, Donata Monien, Roger H. Morin, Timothy Paulsen, Davide Persico, David Pollard, J. Ian Raine, Christina R. Riesselman, S. Sandroni, Doug Schmitt, Charlotte Sjunneskog, C. P. Strong, F. Talarico, Marco Taviani, Giuliana Villa, S. W. Vogel, Tom Wilch, Trevor Williams, T. J. Wilson, Sherwood W Wise

Bibliographic record

VenueGlobal and Planetary Change · 2012
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsUniversity of Alberta
FundersMinisterio de Ciencia e InnovaciónAntarctica New ZealandVictoria University of WellingtonNational Science Foundation
KeywordsGeologyPaleontologyNeogeneUnconformityMagnetostratigraphyFaciesPyroclastic rockVolcanoTephraSedimentary rockPaleomagnetismStructural basin

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 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)0.001
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 score0.073
Threshold uncertainty score0.145

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.026
GPT teacher head0.234
Teacher spread0.208 · 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

Citations44
Published2012
Admission routes1
Has abstractno

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