MétaCan
Menu
Back to cohort
Record W6931273818 · doi:10.5281/zenodo.5186694

Acrotona smithi

2018· article· en· W6931273818 on OpenAlexaffabout

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicAcademic Writing and Publishing
Canadian institutionsAgriculture and Agri-Food CanadaYukon UniversityNatural Resources Canada
Fundersnot available
KeywordsHabitatNearctic ecozoneDeciduousMalaiseSnag

Abstract

fetched live from OpenAlex

Acrotona smithi (Casey) Distribution Origin Nearctic Distribution Canada: MB, NB, ON, QC; USA: NY New provincial record Canada: Manitoba: Birds Hill [Prov. Park] - bur oak [trail], 2016-IX-16, 50.0083°N, 96.9216°W, 264 m, mushrooms, sifting, B. Godin & D. Horwood (BGC) 1 male, 3 females; same locality data (LFC) 1 male, 3 females. References Casey 1910, Klimaszewski et al. 2018 Collection and habitat data. Habitat (outside of the study area). In ON, a common species in various kinds of deciduous forests, mixed forests, and a semi-open habitat (e.g. oak savannah); adults sifted from grass pile and leaves and captured in Malaise pans and Lindgren funnel traps. In NB, adults collected from decaying sea wrack under alders (Alnus sp.) and gravel and sand on the margin of a sea beach where it was common. Collecting period. V–IX. Collecting method. Pitfall traps, Lindgren funnel traps, flight intercept traps, Malaise pan traps, sifting litter, car net.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.020
Threshold uncertainty score0.068

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0200.004

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 head0.062
GPT teacher head0.248
Teacher spread0.187 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2018
Admission routes2
Has abstractyes

Explore more

Same venueZenodo (CERN European Organization for Nuclear Research)Same topicAcademic Writing and PublishingFrench-language works237,207