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Record W6968112756 · doi:10.5281/zenodo.13749811

Camptomyia abnormis Mamaev 1961

2024· article· en· W6968112756 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBryophyte Studies and Records
Canadian institutionsnot available
Fundersnot available
KeywordsMalaiseBinIdentification (biology)ClearingBarcode

Abstract

fetched live from OpenAlex

Camptomyia abnormis Mamaev, 1961 Morphological identification Jaschhof & Jaschhof (2013). DNA barcode CO1 sequences (652‒664bp) of the three specimens listed below are available in BIN BOLD:ABW0442. Search on BOLD ’ s BIN Database (accessed 26 Aug. 2023) retrieved a further eight matches for this BIN, all labeled Camptomyia sp. from Canada (four matches), Germany (two), and Norway (two). Material examined GERMANY ‒ Bavaria • 1 ♂; Germaringen; 47°96′30″ N, 10°67′62″ E; elev. 650 m; 16 Jul. 2019; LandKlif and J. Müller leg.; Malaise trap; BOLD GBDTA10032-21; ZSM-DIP-42304-E09 • 1 ♂; same data as for preceding; BOLD GBDTA10034-21; ZSM-DIP-42304-E11 • 1 ♂; Lower Franconia, Rhön, Oberelsbach, Leimertshecke; 50°44′64″ N, 10°01′69″ E; elev. 855 m; 27 Jun.‒11 Jul. 2018; D. Doczkal leg.; Malaise trap; swampy clearing in beech forest; BOLD GBDTA10046-21; ZSM-DIP-42304-F11. Distribution Germany (new record); widespread in Europe (Gagné & Jaschhof 2021).

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 score0.012
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0120.002

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 head0.025
GPT teacher head0.220
Teacher spread0.195 · 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
Published2024
Admission routes1
Has abstractyes

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