Bibliographic record
Abstract
Key to Chilean Species of Doeringiella 1. Mesosoma with setation entirely black except on dorsum of pronotum and anterior transverse band on mesoscutum (Fig. 7); metasoma with pale apical bands primarily on T1 and T2 (Figs. 7, 9); far northern Chile (Region XV) ..................................................................... D. mamabee Packer, n. sp. —. Mesosoma with abundant pale setation (Fig. 12); metasoma with pale markings distinct on all terga (Fig. 12); central and southern Chile (from Region IV south to Region X) ..................................................................................................... 2 2(1). Male scape not swollen (Fig. 13); male S5 with complete row of approximately equally long hairs (Fig. 14); female T5 with pseudopygidial area at least as long as wide (Fig. 15) ........................................... D. gayi (Spinola) —. Male scape considerably swollen (Fig. 16); male S5 with moderately long hairs laterally, short medially (Fig. 17); female T5 with pseudopygidial area much shorter than broad (Fig. 18) .............................................. D. gigas (Spinola) Note, although females of the new species are unknown, the characters used in the key above are not generally sexually dimorphic among these bees and both sexes should be identifiable using it.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.025 | 0.006 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".