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Record W4200282216 · doi:10.2110/palo.2021.054

THE ARROWS IN ORGANISM-SUBSTRATE INTERACTIONS

2021· article· en· W4200282216 on OpenAlexaffabout
M. Gabriela Mángano

Bibliographic record

VenuePalaios · 2021
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicPaleontology and Stratigraphy of Fossils
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsCitationIconDownloadWorld Wide WebComputer scienceLibrary scienceHistory

Abstract

fetched live from OpenAlex

Research Article| December 27, 2021 THE ARROWS IN ORGANISM-SUBSTRATE INTERACTIONS M. GABRIELA MÁNGANO M. GABRIELA MÁNGANO Department of Geological Sciences, University of Saskatchewan, 114 Science Place, Saskatoon, SK S7N 5E2, Canada email: gabriela.mangano@usask.ca Search for other works by this author on: GSW Google Scholar PALAIOS (2021) 36 (12): 353–355. https://doi.org/10.2110/palo.2021.054 Article history received: 29 Oct 2021 accepted: 08 Nov 2021 first online: 27 Dec 2021 Cite View This Citation Add to Citation Manager Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Get Permissions Search Site Citation M. GABRIELA MÁNGANO; THE ARROWS IN ORGANISM-SUBSTRATE INTERACTIONS. PALAIOS 2021;; 36 (12): 353–355. doi: https://doi.org/10.2110/palo.2021.054 Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentBy SocietyPALAIOS Search Advanced Search It really is a wonderful opportunity to be able to write a Spotlight piece as past Co-editor of PALAIOS. After all, since my time as a student in the deep, deep South (i.e., south of the Rio Grande), I loved reading the front piece of the freshly arrived-in-the-mail PALAIOS journal—sent by snail mail at that time and patiently awaited! Those lines, typically provocative, revealed their authors in a very different light, sharing personal perspectives, with the fresh flavor of ideas presented in an almost colloquial way, without the necessary rigor and structure of a more formal scientific contribution. These lines... You do not have access to this content, please speak to your institutional administrator if you feel you should have access.

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 score0.242
Threshold uncertainty score0.906

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)0.0010.000

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 head0.014
GPT teacher head0.227
Teacher spread0.213 · 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
Published2021
Admission routes2
Has abstractyes

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