Bibliographic record
Abstract
207. Meotica pallens (Redtenbacher) † (Illustrations in Klimaszewski et al. 2007 a, 2018), Table 1 References. Redtenbacher 1849. Benick and Lohse 1974. Muona 1991. Klimaszewski et al. 2007 a, 2018, 2020. Majka and Klimaszewski 2008b. Majka and Sikes 2009. Brunke et al. 2012. Webster et al. 2016. Distribution. Palearctic, adventive in North America. Canada: BC, NB, NS, ON, YT. USA: NH (NSR), NJ, RI. Collection and Habitat data. Two NH females were captured in meadow sod in October. In Canada recorded from an old-growth northern hardwood forest, mixed forests (NB), and a Sphagnum bog (ON) (Brunke et al. 2012, Webster et al. 2016). Adults were found in a muskrat nest, among sticks, debris and mud on a beaver dam, and in leaf litter on clay near a small brook. One was captured in a Lindgren funnel trap in an old-growth hardwood forest (Klimaszewski et al. 2018). Material. USA: New Hampshire, Strafford Co.: College Woods, Durham, 4.X.2007, Z.A. Bandola, B.W. Sanford, berlese meadow sod, 2 females.
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.042 | 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".