Chalcovietnamicus daiqini Yu & Hoang & Maddison & Zhang 2023
Bibliographic record
Abstract
daiqini -species group This group can be distinguished from the vietnamensis -group by the lack of a large apical flag-like embolic apophysis (EA) on the back side of the embolus (Figs 60, 63–64, 66–67). The body is covered with dense khaki setae but never on the male face, palp, and tibia I, which are conspicuously darker than other body parts (Figs 4–5, 42–43, 70–72, 88–89). Females share three pairs of transverse setal bands on the posterior half of abdomen; the posterior pair is connected or very close to each other (Figs 11, 30, 48, 73, 90); female sternum has a cluster of long white setae on the posterior lateral edge of each side (but reduced in C. marusiki sp. nov. and C. terbakar sp. nov.; Figs 14, 32, 96). Species included. Chalcovietnamicus daiqini (Prószyński & Deeleman-Reinhold, 2012) comb. nov., C. logunovi Yu, Maddison & Zhang, sp. nov., C. marusiki Yu, Maddison & Zhang, sp. nov., C. terbakar Yu, Maddison & Zhang, sp. nov., C. weihangi Yu & Zhang, sp. nov..
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".