Atheta (Dimetrota) pseudoschistoglossa Klimaszewski and Webster
Bibliographic record
Abstract
65. Atheta (Dimetrota) pseudoschistoglossa Klimaszewski and Webster (Illustrations in Klimaszewski et al. 2018), Table 1 References. Webster et al. 2016. Klimaszewski et al. 2016d, 2018. Distribution. Nearctic, transcontinental. BC, NB, SK. USA: AK, NH (NSR). Collection and Habitat data. In NH captured by sifting forest leaf litter and pine litter in October and November. In Canada found in wetland habitats: among cobblestones, drift material, and flood debris along river margins, moist leaves along vernal pond margin in a silver maple swamp, in leaf litter and moss along brook margins in alder swamps, and in litter at base of red maple, in Carex marshes, in leaf litter in a red oak forest near a flooded seasonally flooded marsh, in a salt marsh, and in litter and Sphagnum at the base of a tree in a marsh. A few individuals were captured in Lindgren funnel traps in a mixed forest, and in a hardwood woodland near a seasonally flooded marsh (Webster et al. 2016, Klimaszewski et al. 2018). Material. USA, New Hampshire, Strafford Co.: 3 mi E Durham, 17.XI.1981, D.S. Chandler, sift pine litter, 1 female. Woodman Farm, 43 9.228, -70 56.286, 130’, 2.X.2003, M.H. Cline, ZOOL 745 class, sift forest leaf litter, 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 | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 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".