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Paleontological Collection of the Facultad de Ingenieria of the Universidad Nacional Autonoma de Mexico

2020· article· en· W3046276398 on OpenAlexaboutno aff
Blanca Estela Buitrón Sánchez, Iván Manuel Cuadros Mendoza, Emiliano Campos Madrigal, María Elena Suárez Noyola

Bibliographic record

VenuePaleontología mexicana. · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental and Cultural Studies in Latin America and Beyond
Canadian institutionsnot available
FundersUniversidad Nacional Autónoma de México
KeywordsNomaHumanitiesGeographyArtComputer scienceTelecommunications

Abstract

fetched live from OpenAlex

The Paleontological Collection of the Facultad de Ingeniería of the Universidad Nacional Autónoma de México has 6,347 fossil samples of plants, protists, invertebrates, and vertebrates. Additionally, there are 348 recent samples with the aim to make comparisons between the living world and the geological past. The main purpose of this collection is to support the courses of General Paleontology, Stratigraphy, Paleontology, Micropaleontology, Stratigraphy, and Historical Geology for the Geological Engineer major. The collection is organized by phyla and each sample has a card with systematic, stratigraphic and geographic information. The invertebrate fossils are the most abundant and come from different regions of Mexico such as Baja California, Sonora, Chihuahua, Tamaulipas, Veracruz, Coahuila, Durango, Sinaloa, San Luis Potosí, Querétaro, Estado de México, Puebla, Oaxaca, Hidalgo, Guerrero, and Chiapas. It also has material from Canada, the United States of America, Cuba, England, France, Germany, Italy, Belgium, Sweden, Switzerland, India, Russia, and Australia.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.995

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.012
GPT teacher head0.211
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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations2
Published2020
Admission routes1
Has abstractyes

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