Bibliographic record
Abstract
Key to Asian Socially Parasitic Females of Braunsapis (reference citations in the key are to images of the key characteristic) 1. Metasoma with distinct pale markings, either almost entirely (Fig. 1) or at least broadly towards apices of T1–T6 (Michener et al., 2003: figs. 1, 10); T6 lacking distinct lateral shoulders (Fig. 6; Michener et al., 2003: fig. 10) ................ 2 __. Metasoma dark except for somewhat translucent apical impressed areas (Fig. 7); T6 with distinct lateral shoulders (Fig. 7; Reyes & Sakagami, 1990: fig. 3) ........ 3 2. T1–T4 mostly dark brown (Michener et al., 2003: figs. 1, 10); paraocular area with pale mark narrowly extending dorsally almost level with transverse portion of epistomal sulcus (Michener et al., 2003: fig. 3); T6 dorsal surface weakly convex (Michener et al., 2003: fig. 1) (S. India) .................... B. bislensis Michener & Borges __. Only T1 extensively marked with brown (Fig. 1); paraocular area with small pale mark not narrowly extended above (Fig. 3); T6 dorsal surface concave (Vietnam) .............................................................................. B. scorpius Packer, n. sp. 3. Pronotum with yellow spots, tarsi orange to yellow (N. India) ............................. ........................................................................................ B. kaliago Reyes & Sakagami __. Pronotum and tarsi dark (Java, Malaysia) .......................... B. breviceps (Cockerell)
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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 | 0.003 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.061 | 0.027 |
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".