MétaCan
Menu
Back to cohort

Additional file 5 of Location of studies and evidence of effects of herbivory on Arctic vegetation: a systematic map

2021· dataset· en· W4394294626 on OpenAlexaff
Eeva M. Soininen, Isabel C. Barrio, Ragnhild Bjørkås, Katrín Björnsdóttir, Dorothée Ehrich, Kelly A. Hopping, Elina Kaarlejärvi, Anders Lorentzen Kolstad, Svetlana Abdulmanova, Robert G. Björk, C. Guillermo Bueno, Isabell Eischeid, Rebecca Finger Higgens, Jennifer S. Forbey, Charles Gignac, Olivier Gilg, Michael den Herder, Hildur Søndergaard Holm, Bernice C. Hwang, Jane Uhd Jepsen, Stefaniya Kamenova, Ilona Kater, Amanda M. Koltz, J. A. Kristensen, Chelsea J. Little, Petr Macek, Karen Marie Mathisen, Daniel B. Metcalfe, Jesper Bruun Mosbacher, Martin Alfons Mörsdorf, Taejin Park, Jeffrey Propster, Aradhana Roberts, Emmanuel Serrano, Marcus P. Spiegel, Mariana Tamayo, Maria Tuomi, Megha Verma, Katariina Vuorinen, Maria Väisänen, René van der Wal, Megan Wilcots, Nigel G. Yoccoz, James D. M. Speed

Bibliographic record

VenueOPAL (Open@LaTrobe) (La Trobe University) · 2021
Typedataset
Languageen
FieldAgricultural and Biological Sciences
TopicBotany and Plant Ecology Studies
Canadian institutionsSimon Fraser UniversityUniversité Laval
Fundersnot available
KeywordsHerbivoreArcticVegetation (pathology)Arctic vegetationThe arcticPhysical geographyGeographyEcologyEnvironmental scienceBiologyTundraOceanographyGeologyMedicine

Abstract

fetched live from OpenAlex

Additional file 5. Coded raw data. Raw data coded from full text studies. This file is compiled with the geospatial data through scripts available https://github.com/JamesDMSpeed/ArcticHerbivorySystematicMap , and the dataset with geospatial data can be downloaded from https://shiny.vm.ntnu.no/users/speed/ArcticHerbivorySystematicMap/ .

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)0.001
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: Systematic review · Consensus signal: none
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.706
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.025
GPT teacher head0.224
Teacher spread0.199 · 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 designSystematic review
Domainnot available
GenreDataset

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
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueOPAL (Open@LaTrobe) (La Trobe University)Same topicBotany and Plant Ecology StudiesFrench-language works237,207