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Record W6968767724 · doi:10.5281/zenodo.5162777

Brochymena quadripustulata

2021· article· en· W6968767724 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2021
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicColeoptera Taxonomy and Distribution
Canadian institutionsnot available
Fundersnot available
KeywordsPunitive damagesPyrotechnicsSubject (documents)

Abstract

fetched live from OpenAlex

Brochymena quadripustulata (Fabricius, 1775) Distribution: Canada: AB, BC, NB (Larivière 1992, Roch 2020), MB (Maw et al. 2000), NS (Larivière 1992, Roch 2020), ON, QC, SK (Larivière 1992). United States: AK (Scudder & Sikes 2014), AL (Larivière 1992), AR, AZ, CA, CO, CT, DC, DE (Larivière 1992), FL, GA (Herrich-Schäfer 1839, Scott & Fiske 1902, Larivière 1992), IA, ID (Harris & Shull 1944, Furniss 1972, Larivière 1992), IL, IN, KS, KY (Larivière 1992), LA, MA, MD, ME (Larivière 1992, Roch 2020), MI, MN (Lugger 1900, Larivière 1992, Rider 2012, Koch et al. 2014), MO, MS, MT (Larivière 1992), NC, ND (Larivière 1992, Rider 2012), NE, NH, NJ, NM, NV (Larivière 1992), NY, OH, OK, OR (Torre-Bueno 1934, Larivière 1992, Hedstrom et al. 2017), PA, SC, SD (Parshley 1922, Harris 1937, Larivière 1992), TN (Howden & Crossley 1961, Larivière 1992), TX (Uhler 1876, Snow 1906, Tucker 1917, Torre-Bueno 1931, Larivière 1992), UT, VA, VT (Larivière 1992, Roch 2020), WA (Wallis & Turner 1972, Larivière 1992, Zack et al. 2012), WI (Stål 1872, Larivière 1992), WV (Brown et al. 1988, Larivière 1992). (Hawaii) Comments: Lugger (1900) recorded Brochymena annulata from Minnesota; this is clearly a misdetermination and should be referred to this species.

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 score0.035
Threshold uncertainty score0.069

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0140.003

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 head0.040
GPT teacher head0.218
Teacher spread0.178 · 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
Published2021
Admission routes1
Has abstractyes

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