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Record W3111826454 · doi:10.2110/jsr.2020.126

The International Sedimentary Geosciences Congress (ISGC) 2021: An opportunity to shape the future of sedimentary geosciences

2020· article· en· W3111826454 on OpenAlexaffabout
Andrea Fildani, Jean C.C. Hsieh

Bibliographic record

VenueJournal of Sedimentary Research · 2020
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological Studies and Exploration
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsSedimentary rockCitationGeologyIconLibrary sciencePaleontologyComputer science

Abstract

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Research Article| December 04, 2020 The International Sedimentary Geosciences Congress (ISGC) 2021: An opportunity to shape the future of sedimentary geosciences Andrea Fildani; Andrea Fildani 1The Deep Time Institute, P.O. Box 27552, Austin, Texas, U.S.A. 3Chairs of the ISGC Scientific and Program Committees Search for other works by this author on: GSW Google Scholar Jean C.C. Hsieh Jean C.C. Hsieh 2Sedimentary Geology Consultants, 2033 42 Avenue SW, Calgary, Alberta T2T 2M8, Canada 3Chairs of the ISGC Scientific and Program Committees Search for other works by this author on: GSW Google Scholar Journal of Sedimentary Research (2020) 90 (10): 1370–1371. https://doi.org/10.2110/jsr.2020.126 Article history received: 27 Jul 2020 accepted: 01 Oct 2020 first online: 04 Dec 2020 Cite View This Citation Add to Citation Manager Share Icon Share Facebook Twitter LinkedIn Email Tools Icon Tools Get Permissions Search Site Citation Andrea Fildani, Jean C.C. Hsieh; The International Sedimentary Geosciences Congress (ISGC) 2021: An opportunity to shape the future of sedimentary geosciences. Journal of Sedimentary Research 2020;; 90 (10): 1370–1371. doi: https://doi.org/10.2110/jsr.2020.126 Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search nav search search input Search input auto suggest search filter All ContentBy SocietyJournal of Sedimentary Research Search Advanced Search The 1st International Sedimentary Geosciences Congress (ISGC) was conceived a few years ago as a unique opportunity for the broad sedimentary geosciences community to come together in a time of transformations. The aim of the congress is to allow the community to express, plan, and implement what we all know are necessary changes to progress into the new decades with new motivations, ideas, and purpose, fine-tuned to the concepts of a sustainable future. The Congress, organized by SEPM (Society for Sedimentary Geology), was scheduled to take place in Flagstaff, Arizona, USA, at the end of April of 2020. The rapid... You do not currently have access to this article.

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)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.315
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.114
GPT teacher head0.331
Teacher spread0.217 · 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.

Study designNot applicable
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
Published2020
Admission routes2
Has abstractyes

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