Bibliographic record
Abstract
202. Gnathusa tenuicornis Fenyes (Illustrations in Klimaszewski et al. 2018) Table 1 References. Fenyes 1921. Klimaszewski and Winchester 2002a. Klimaszewski et al. 2012, 2014, 2018, 2020, 2021. Distribution. Nearctic, recorded from A/S (Klimaszewski et al. 2021). Canada: AB, BC, NB, MB, SK, YT. USA: AK, CA, NH (NSR), OR. Collection and Habitat data. In NH captured in leaf litter on spring edges, and by flight intercept traps in mixed and coniferous forests. Collected from May to September in northern NH. In AK found on arctic tundra and in clear-cuts (Klimaszewski et al. 2021). In western Canada recorded from a variety of coniferous forests, and a subalpine meadow at 3000 feet in moss seepage on a slope (Klimaszewski and Winchester 2002a, Klimaszewski et al. 2021). In NB found in moss and leaves under alders near a brook in an eastern white-cedar swamp, from under cobblestones and gravel in sand on a partially shaded cobblestone bar near outflow of brook into a river, and in moss along a shaded spring-fed brook in a boreal forest area (Klimaszewski et al. 2021). Material. USA, New Hampshire, Carroll Co.: 1 mi N Wonalancet, E Fork Spring Brk., 5.IX.1985, D.S. Chandler, sift leaf litter on spring edge, 1 male; 2–10.VII.1985, D.S. Chandler, fl. intercept trap, 1 female. The Bowl, 2.5 mi NW Wonalancet, 14.VI.1985, D.S. Chandler, sift leaf litter on stream edge, 1 male. Coos Co.: 1 mi NE East Inlet Dam, 10–26.V.1986, D.S. Chandler, FIT, 1 male. Norton Pool, 3 mi NE East Inlet Dam, 12–24.VI.1986, D.S. Chandler, FIT, 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 | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 0.007 |
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".