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Record W6977763226 · doi:10.7479/wcst-nn56

Lung development in the eastern quoll (<i>Dasyurus viverrinus</i>)

2020· dataset· en· W6977763226 on OpenAlexaff

Bibliographic record

VenueMuseum für Naturkunde Berlin - Leibniz-Institut für Evolutions- und Biodiversitätsforschung · 2020
Typedataset
Languageen
FieldEngineering
TopicMilitary Technology and Strategies
Canadian institutionsMinnow Environmental (Canada)
Fundersnot available
KeywordsMarsupialLungParenchymaEmbryogenesis

Abstract

fetched live from OpenAlex

The development of the lungs of the eastern quoll Dasyurus viverrinus, a marsupial species with extremely small newborns, was investigated by light microscopic morphometry in the early postnatal period (1-25 days). Body weight, lung volume, surface density and surface area of the lung, volume proportions of the parenchyma and non-parenchyma and the components of the later two were determined and part of this data publication. Macrographes of the external morphology of a neonate (0-12 hours old) and by 7, 14, 19 and 25 dpn (days post natum) were documented. Light micrographes of wholemount transversal and longitudinal sections of newborn eastern quolls and light micrographes of the developing eastern quoll lung were provided.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.029
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0100.007

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 head0.014
GPT teacher head0.246
Teacher spread0.231 · 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 designObservational
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
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueMuseum für Naturkunde Berlin - Leibniz-Institut für Evolutions- und BiodiversitätsforschungSame topicMilitary Technology and StrategiesFrench-language works237,207