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Record W3046384964 · doi:10.1111/cobi.13592

Invasion costs, impacts, and human agency: response to Sagoff 2020

2020· letter· en· W3046384964 on OpenAlexaff
Ross N. Cuthbert, Sven Bacher, Tim M. Blackburn, Elizabeta Briski, Christophe Diagne, Jaimie T. A. Dick, Franz Essl, Piero Genovesi, Phillip J. Haubrock, Guillaume Latombe, Bernd Lenzner, Yves Meinard, Aníbal Pauchard, Petr Pyšek, Anthony Ricciardi, David M. Richardson, James C. Russell, Daniel Simberloff, Franck Courchamp

Bibliographic record

VenueConservation Biology · 2020
Typeletter
Languageen
FieldEnvironmental Science
TopicWildlife Conservation and Criminology Analyses
Canadian institutionsMcGill University
FundersErnest Oppenheimer Memorial TrustAXA Research FundGrantová Agentura České RepublikyBelmont ForumSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungBiodiversa+Alexander von Humboldt-StiftungAkademie Věd České RepublikyAgence Nationale de la RechercheNational Science Foundation
KeywordsAgency (philosophy)BiodiversityStatement (logic)Environmental planningGeographyEnvironmental resource managementEnvironmental protectionBusinessEcologyPolitical scienceEnvironmental scienceBiologySociologyLawSocial science

Abstract

fetched live from OpenAlex

Article impact statement: In an era of profound biodiversity crisis, invasion costs, invader impacts, and human agency should not be dismissed.

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)0.024
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: Commentary · Consensus signal: Commentary
Teacher disagreement score0.089
Threshold uncertainty score0.073

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.024
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0080.003
Scholarly communication0.0060.004
Open science0.0020.003
Research integrity0.0890.042
Insufficient payload (model declined to judge)0.0120.010

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 head0.052
GPT teacher head0.295
Teacher spread0.243 · 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
GenreCommentary

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

Citations54
Published2020
Admission routes1
Has abstractyes

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