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Record W4205617913 · doi:10.1073/pnas.2115635118

The Earth BioGenome Project 2020: Starting the clock

2022· article· en· W4205617913 on OpenAlexaff
Harris A. Lewin, Stephen Richards, Erez Lieberman Aiden, Miguel L. Allende, John M. Archibald, Miklós Bálint, Katharine Barker, Bridget Baumgartner, Katherine Belov, Giorgio Bertorelle, Mark Blaxter, Jing Cai, Nicolette Caperello, Keith Carlson, Shu‐Miaw Chaw, Lei Chen, Anna K. Childers, Jonathan A. Coddington, Dalia A. Conde, Montserrat Corominas, Keith A. Crandall, Andrew J. Crawford, Federica Di-Palma, Richard Durbin, ThankGod E. Ebenezer, Scott V. Edwards, Olivier Fédrigo, Paul Flicek, Giulio Formenti, Richard A. Gibbs, M. Thomas P. Gilbert, Melissa M. Goldstein, Jennifer A. Marshall Graves, Henry T. Greely, Igor V. Grigoriev, Kevin J. Hackett, Neil Hall, David Haussler, Kristofer M. Helgen, Carolyn J. Hogg, Sachiko Isobe, Kjetill S. Jakobsen, Axel Janke, Erich D. Jarvis, Warren E. Johnson, Steven J.M. Jones, Elinor K. Karlsson, Paul Kersey, Jin‐Hyoung Kim, W. John Kress, Shigehiro Kuraku, Mara Lawniczak, Jim Leebens‐Mack, Xueyan Li, Kerstin Lindblad‐Toh, Xin Liu, Jose V. Lopez, Tomàs Marquès‐Bonet, Sophie Mazard, Jonna A. K. Mazet, Camila J. Mazzoni, Eugene W. Myers, Rachel J. O’Neill, Sadye Paez, Gene E. Robinson, Cristina Roquet, Oliver A. Ryder, Jamal S. M. Sabir, H. Bradley Shaffer, Timothy M. Shank, Jacob S. Sherkow, Pamela S. Soltis, Boping Tang, Leho Tedersoo, Marcela Uliano‐Silva, Kun Wang, Xiaofeng Wei, Regina Wetzer, Julia L. Wilson, Xun Xu, Huanming Yang, Anne D. Yoder, Guojie Zhang

Bibliographic record

VenueProceedings of the National Academy of Sciences · 2022
Typearticle
Languageen
FieldMedicine
TopicZoonotic diseases and public health
Canadian institutionsCanada's Michael Smith Genome Sciences CentreGenome British ColumbiaDalhousie University
FundersBiotechnology and Biological Sciences Research CouncilWellcome TrustVillum Fonden
KeywordsThreatened speciesBiodiversityWildlifePolitical scienceExtinction (optical mineralogy)Environmental ethicsEnvironmental resource managementGeographyPublic relationsEcologyBiologyEnvironmental science

Abstract

fetched live from OpenAlex

Description

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 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)0.006
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.082
Threshold uncertainty score0.276

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0050.003
Open science0.0020.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0820.054

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 head0.057
GPT teacher head0.345
Teacher spread0.288 · 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 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

Citations365
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of the National Academy of SciencesSame topicZoonotic diseases and public healthFrench-language works237,207