MétaCan
Menu
Back to cohort
Record W2969769219 · doi:10.1093/jmammal/gyz111

Curatorial guidelines and standards of the American Society of Mammalogists for collections of genetic resources

2019· article· en· W2969769219 on OpenAlexaff
Caleb D. Phillips, Jonathan L. Dunnum, Robert C. Dowler, Lisa C. Bradley, Heath J. Garner, Kathryn A MacDonald, Burton K. Lim, Marcia A. Revelez, Mariel Campbell, Holly L. Lutz, Nicté Ordóñez‐Garza, Joseph A. Cook, Robert D. Bradley, Sergio Ticul Álvarez-Castañeda, Jeff E Bradley, Leslie N. Carraway, Juan P Carrera-E, Christopher J Conroy, Brandi S. Coyner, John R. Demboski, Carl W. Dick, Kate Doyle, Jacob A. Esselstyn, Eliécer E. Gutiérrez, John D. Hanson, Paula M Holahan, Thorvald Holmes, Carlos A. Iudica, Rafael N. Leite, Thomas E. Lee, Jason L. Malaney, Bryan S. McLean, Suzanne McLaren, Nancy D. Moncrief, Link E. Olson, Eric A. Rickart, Duke S. Rogers, Cody W. Thompson, Nathan S. Upham, Paúl M. Velazco

Bibliographic record

VenueJournal of Mammalogy · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicSpecies Distribution and Climate Change
Canadian institutionsRoyal Ontario Museum
Fundersnot available
KeywordsAccreditationLibrary sciencePolitical scienceComputer scienceLaw

Abstract

fetched live from OpenAlex

Abstract The Systematic Collections Committee of the American Society of Mammalogists advises curators and other personnel affiliated with natural history collections in matters relating to administration, curation, and accreditation of mammal specimens and their associated data. The Systematic Collections Committee also maintains a list of curatorial standards for managing a collection-accreditation program under the auspices of the American Society of Mammalogists. To date, the Systematic Collections Committee has provided guidance for the more traditional specimen collections (skin, skeletal, fluid, etc.) and specimen data management. Given the rapidly expanding role of genetic resources in biological research, the Systematic Collections Committee herein presents a series of formal guidelines and standards designed to assist collections professionals in the current best practices for curation and maintenance of collections of genetic resources, to ensure long-term integrity of the archived material, and to address personnel safety and guidelines for researchers and curatorial staff. These guidelines and standards are intended to provide constructive guidance and a mechanism of accreditation for collections that vary in scale and infrastructure. El Comité de Colecciones Sistemáticas de la Sociedad Americana de Mastozoólogos asesora a curadores y demás personal afiliado a colecciones de historia natural en asuntos relacionados a la administración, curación y acreditación de especímenes de mamíferos y su información pertinente. El Comité de Colecciones Sistemáticas mantiene también una lista de normas curatoriales para la gestión de un programa de acreditación de colecciones auspiciados por la Sociedad Americana de Mastozoólogos. A la fecha, el Comité de Colecciones Sistemáticas ha proporcionado una guía para las colecciones de muestras tradicionales (piel, esqueleto, líquido, etc.) y el manejo de datos asociados a estos especímenes. Dado el rápido crecimiento del papel que desempeñan los recursos genéticos en investigaciones biológicas, el Comité de Colecciones Sistemáticas presenta en esta publicación una serie de pautas y estándares formales diseñados para ayudar a los profesionales de colecciones científicas en las mejores prácticas actuales para la conservación y mantenimiento de colecciones de recursos genéticos, a modo de garantizar la integridad a largo plazo del material archivado, y tratar sobre la seguridad del personal y directrices para investigadores y personal curatorial. Estas pautas y estándares tienen como objetivo proporcionar una orientación constructiva y un mecanismo de acreditación para colecciones que varían en escala e infraestructura.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.225
Threshold uncertainty score1.000

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 head0.030
GPT teacher head0.299
Teacher spread0.269 · 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 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

Citations20
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueJournal of MammalogySame topicSpecies Distribution and Climate ChangeFrench-language works237,207