Bibliographic record
Abstract
Pterogrammoides baloghi Papp, 1972 Figs 70–71 Pterogrammoides baloghi Papp, 1972: 105. Pterogrammoides baloghi – Marshall 1989: 606. — Papp 1989: 329. — Roháček et al. 2001: 216. Type material Holotype PAPUA NEW GUINEA • ♂; Wau; 25 Sep. 1969; J. Balogh leg.; litter with humus of decaying Tradescantia sp. on bank of small valley near Field Station, Berlese funnel; HNHM. Paratypes PAPUA NEW GUINEA • 1 ♂, 2 ♀♀; same collection data as for holotype; HNHM • 1 ♂; Beier River; 4 Sep. 1969; J. Balogh leg.; lower rooty horizon below litter near big trees on higher (not moist or marshy) ground of virgin forest, Berlese funnel; HNHM • 2 ♂♂; Keravat, near Rabaul; 12 Sep. 1969; J. Balogh leg.; mainly ginger litter in secondary (three years old) forest, Berlese funnel; HNHM • 1 ♂; Wau; 10 Sep. 1968; J. Balogh leg.; very moist litter without humus of big tree with pilose leaves in lateral depression of valley, Berlese funnel; HNHM • 3 ♂♂, 1 ♀; same collection data as for preceding; detritus and roots of hygrophilous vegetation on bank of stream in valley at Field Station, Berlese funnel; HNHM. Material examined PAPUA NEW GUINEA • 1 ♂; 19.3 km N of Wau; 400 m a.s.l.; 30 May 1974; S. Peck leg.; DEBU • 1 ♂; Wau; 1219 m a.s.l.; 29 Jun. 1974; S. Peck leg.; DEBU. Distribution Australasian/Oceanian: Papua New Guinea. Remarks Pterogrammoides baloghi is easily recognizable by its short wings (Fig. 70A,C). Wings of other species of Pterogrammoides extend beyond the apex of the abdomen.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.024 | 0.008 |
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".