Bibliographic record
Abstract
92. Geostiba circellaris (Gravenhorst) † (Illustrations in Gusarov 2002b, Klimaszewski et al. 2018), Table 1 References. Gravenhorst, 1806. Muona 1984. Assing 2001b. Gusarov 2002b. Webster et al. 2009. Klimaszewski et al. 2011. Distribution. Western Palearctic, adventive in Canada. Canada: NB, NF. USA (NCR): NH (NSR). Collection and Habitat data. The NH female was captured by a FIT in April–May that was placed in a pine-oak barrens. In Canada adults were sifted from flood debris and drift material along river margins, found in leaf litter near a brook in a red oak forest, from litter in multiple crotched silver maple trees in a silver maple swamp before the normal spring flood (in early April, probably an overwintering site), and in debris on the inland margin of salt marsh near a river. Specimens from NF were taken by pitfall traps, including one from an agricultural field (Webster et al. 2009, Klimaszewski et al. 2011). Material. USA, New Hampshire, Merrimack Co.: 1 mi E Concord, Concord Airport, CZ-4a, 19.IV–11.V.2001, D.S. Chandler, pine-oak barrens, flight intercept trap, 1 female.
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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 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.073 | 0.030 |
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".