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Record W4395944374 · doi:10.15468/dl.brd7yy

Occurrence Download

2022· dataset· es· W4395944374 on OpenAlexaboutno aff

Bibliographic record

VenueGlobal Biodiversity Information Facility · 2022
Typedataset
Languagees
FieldEnvironmental Science
TopicSpecies Distribution and Climate Change
Canadian institutionsnot available
Fundersnot available
KeywordsDownloadComputer scienceWorld Wide Web

Abstract

fetched live from OpenAlex

A dataset containing 1123 species occurrences available in GBIF matching the query: { "and" : [ "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Living Specimen, Occurrence evidence, Specimen)", "Country is one of (Mexico, United States of America, Canada)", "DatasetKey is one of (The New York Botanical Garden Herbarium (NY), NMNH Extant Specimen Records (USNM, US), Phanerogamic Botanical Collections (S), Harvard University Herbaria: All Records, Plant Resources Center, R. L. McGregor Herbarium Vascular Plants Collection, University of Michigan Herbarium, Tropicos MO Specimen Data, CAS Botany (BOT), Sistematización del Herbario Nacional Forestal Biól Luciano Vela Gálvez, Banco de datos florísticos del Herbario CHAP, Digitalización y Sistematización de las Colecciones Biológicas Nacionales del Instituto de Biología, UNAM (Plantas vasculares), iNaturalist Research-grade Observations, Digitalización y sistematización de las colecciones biológicas del INECOL (Herbario), Etapa final de la captura y catalogación del Herbario del Instituto de Ecología, A.C., Centro Regional del Bajío, Royal Botanic Gardens, Kew - Herbarium Specimens, Estudio florístico de la Sierra de Pachuca, Hidalgo, México, Mejoramiento de los modelos de distribución de especies de plantas amenazadas de México (Orchidaceae, Pinaceae, Cupressaceae, Taxaceae, Podocarpaceae) a través de información de sensores remotos y medidas espaciales de incertidumbre en los modelos-conUFZ*, Base de datos sobre la flora de Durango, Computarización del Herbario ENCB, IPN. Fase IV. Base de datos de la familia Pinaceae y de distintas familias de la clase Magnoliopsida depositadas en el Herbario de la Escuela Nacional de Ciencias Biológicas, IPN, Computarización del Herbario ENCB. Fase I (Base de datos de los ejemplares del Valle de México), Catálogo electrónico de especímenes depositados en el Herbario de la Universidad de Texas en Austin, Fase IV (Ejemplaresimagenes), Royal Botanic Garden Edinburgh Living Plant Collections (E), Catálogos florísticos de México por entidad federativa e información etnobotánica de la Colección del Herbario Nacional Biól. Luciano Vela Gálvez (INIF), Edinburgh (E) Herbarium Specimens, Actualización y depuración de la base de datos del Herbario del Instituto de Ecología, AC, Centro Regional del Bajío. Fase 2, Natural History Museum (London) Collection Specimens, Sistema de apoyo a la toma de decisiones para la reforestación rural en México, Herbarium Berolinense, Berlin (B), Digitalización de la colección científica del Herbario de Querétaro \"Dr. Jerzy Rzedowski\" QMEX, Actualización de las bases de datos de colecciones, especies en peligro de extinción, colecta y propagación de germoplasma, Field Museum of Natural History (Botany) Seed Plant Collection)", "HasCoordinate is true", "HasGeospatialIssue is false", "OccurrenceStatus is Present", "TaxonKey is Pseudotsuga menziesii var. menziesii" ] } The dataset includes 1123 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0173913-220831081235567/datasets/export for details. Data from some individual datasets included in this download may be licensed under less restrictive terms.

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)0.001
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.696
Threshold uncertainty score0.992

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0060.010
Science and technology studies0.0010.000
Scholarly communication0.0040.004
Open science0.0030.004
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.3040.401

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 head0.022
GPT teacher head0.222
Teacher spread0.201 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
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
Published2022
Admission routes1
Has abstractyes

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