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Record W6968130396 · doi:10.5281/zenodo.12173713

Drosophila (Sophophora) miranda Dobzhansky 1935

2024· article· en· W6968130396 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInsect behavior and control techniques
Canadian institutionsnot available
Fundersnot available
KeywordsSympatric speciationDrosophila pseudoobscuraRange (aeronautics)Drosophila (subgenus)SetaHolotypePeninsula

Abstract

fetched live from OpenAlex

Drosophila (Sophophora) miranda Dobzhansky Drosophila miranda Dobzhansky, 1935: 377. DIAGNOSIS: Edge of facial carina slightly flattened; acrostichal setae in 8 rows; distinguished from sympatric species D. pseudoobscura and D. persimilis by body being larger (by 10%–15%), darker (especially the legs), and sex comb with more teeth: ta1 with usually 8 teeth (ranging from 6–10), ta2 with usually 6 (ranging from 5–8); acrostichals in 8 rows. TYPE: Holotype, ♂: Olympic Mts. Washington [no collector or date, handwritten] / TYPE [red label, printed]. In AMNH. SPECIMENS EXAMINED: Six paratypes, same label data as holotype; 9 specimens: Prairie Creek S.P. [State Park], Calif. July 1951 / M.R. Wheeler, W.B. Heed / 2179.2. In AMNH. DISTRIBUTION: This species has one of the narrowest distributions in the group north of Mexico; it is relatively rare compared to the sympatric D. pseudoobscura and D. persimilis, preferring cool, wet coastal and montane forests of the Pacific Northwest. Its northern extent is Vancouver Island, south in the Cascade Range to Mt. Whitney and to the Monterey Peninsula in California. COMMENTS: I have not studied the female terminalia.

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 score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.002

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 head0.031
GPT teacher head0.236
Teacher spread0.206 · 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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