MétaCan
Menu
Back to cohort
Record W6948345822 · doi:10.5061/dryad.3ffbg79fp

S. neglecta parasitism in O. nigricornis: 2018 collection

2020· dataset· en· W6948345822 on OpenAlexaffabout

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2020
Typedataset
Languageen
FieldEarth and Planetary Sciences
TopicSubterranean biodiversity and taxonomy
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsParasitismLarvaCricketDigital video

Abstract

fetched live from OpenAlex

In July 2018, we collected O. nigricornis crickets in southern Ontario (Canada) and New York State (United States of America): from the Koffler Scientific Reserve (coded as K or site 2) (King City Ontario, 44.03°N, 79.53°W), rare Charitable Research Reserve (coded as R or site 4) (Cambridge Ontario, 43.38°N, 80.39°W), the University of Toronto at Mississauga (coded as M or site 3) (43.55°N, 79.66°W), and the Edmund Niles Huyck Preserve and Biological Research Station (coded as H or site 1) (Rensselaerville, New York, 42.10°N, 74.10°W). Crickets were dissected and photographed using an AmScope 5MP digital microscope camera attached to a Wild M5A dissecting microscope. Following dissection, abdomens were examined for the presence of S. neglecta eggs and/or larvae. Crickets containing fly eggs and/or larvae were given a fitness score of 0, while those that did not contain either were given a fitness score of 1. Crickets were photographed under the microscope and digital photos measured using ImageJ software. Measurements of pronotum length, femur length and head width were taken.

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 categoriesScience and technology studies, Insufficient 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 score0.021
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
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0820.069

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 head0.056
GPT teacher head0.207
Teacher spread0.151 · 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; both teacher heads 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
Published2020
Admission routes2
Has abstractyes

Explore more

Same venueZenodo (CERN European Organization for Nuclear Research)Same topicSubterranean biodiversity and taxonomyFrench-language works237,207