MétaCan
Menu
Back to cohort
Record W7106850003 · doi:10.5281/zenodo.17727013

Acalypha spiciflora Burm. f.

2023· article· W7106850003 on OpenAlexaff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2023
Typearticle
Language
FieldAgricultural and Biological Sciences
TopicPlant Diversity and Evolution
Canadian institutionsCanadian Museum of Nature
Fundersnot available
KeywordsHerbariumFlora (microbiology)ConfusionSynonym (taxonomy)NomenclatureGenus

Abstract

fetched live from OpenAlex

Acalypha spiciflora Burm.f. Flora Indica 203: pl. 61-2 (Burman 1768). — Claoxylon spiciflorum (Burm.f.) A.Juss., De Euphorbiacearum generibus medicisque earumdem viribus tentamen 43 (Jussieu 1824). — Cleidion spiciflorum (Burm.f.) Merr., An Interpretation of Rumphius’s Herbarium Amboinense 322 (Merrill 1917). REMARKS Acalypha spiciflora Burm. f. was described and illustrated in Burman’s Flora Indica, but the plate and the description are very imprecise. Subsequently, Poiret (1804) cited under this name a specimen in the Lamarck herbarium (P00382113) from La Réunion. That specimen is morphologically close to Burman’s plate, but it is not an Acalypha species. Later, Jussieu (1824) combined A. spiciflora under the genus Claoxylon, as Claoxylon spiciflorum, and Merrill (1917) combined it under Cleidion, as Cleidion spiciflorum, the name that is currently accepted. Müller Argoviensis (1866) wrongly placed Acalypha spiciflora as a synonym of A. acuminata Vahl ex Baill. Pax & Hoffmann (1924) andLeandri (1942) followed Müller’s treatment but, applying the rule of priority, chose A. spiciflora as the accepted name. This is the origin of the confusion in the use of this name.

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: none
Teacher disagreement score0.023
Threshold uncertainty score0.078

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0230.011

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 head0.068
GPT teacher head0.225
Teacher spread0.158 · 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
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueZenodo (CERN European Organization for Nuclear Research)Same topicPlant Diversity and EvolutionFrench-language works237,207