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Record W6949320812 · doi:10.5281/zenodo.14976034

Calycomyza solidaginis

2025· other· en· W6949320812 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2025
Typeother
Languageen
FieldEnvironmental Science
TopicSpecies Distribution and Climate Change
Canadian institutionsnot available
Fundersnot available
KeywordsHerbaceous plantVegetation (pathology)Variety (cybernetics)Biodiversity

Abstract

fetched live from OpenAlex

Calycomyza solidaginis (Kaltenbach, 1869) Material examined. Morocco. • 1 ♂; Rif, Jbel Kelti, Oued Tanina; 6 June 2021; L. Zouhair leg.; sweep net; LESCB -R 21/38. Distribution. China, Germany, Hungary, Lithuania, Poland, Sweden, Switzerland, Yemen, and Canada: AB, NB, NS, ON, QC, YT. USA: widespread outside of AK and HI. First record from Morocco. Habitat. Collected on the banks of a mountain river bordered by Pistacia lentiscus, Juniperus oxycedrus, Tetraclinis articulata and crossing a mixed forest dominated by Quercus suber, Pinus pinaster, and Pinus halepensis. A wide variety of shrubs and herbaceous plant species (Prunus lusitanica, Stachys fontqueri, Paeonia coriacea, Eryngium caespitiferum, Eryngium triquetrum, Digitalis laciniata, Ptilostemon rhiphaeus, Ruscus hypophyllum, Astragalus armatus, Merendera filifolia, Viola sp.) occupy the undergrowth.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.038

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 studies0.0020.001
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0110.002

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 head0.030
GPT teacher head0.246
Teacher spread0.216 · 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
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

Citations0
Published2025
Admission routes1
Has abstractyes

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