Mocyta sphagnorum Klimaszewski and Webster
Bibliographic record
Abstract
103. Mocyta sphagnorum Klimaszewski and Webster ‡ (Illustrations in Klimaszewski et al. 2015b, 2018), Table 1 References. Klimaszewski et al. 2015b,c,d, 2018, 2021. Brunke et al. 2021. Distribution. Nearctic or Holarctic (status not certain), recorded from A/S (Klimaszewski et al. 2021). Canada: NB, NF, ON, QC, SK. USA: AK, NY. Collection and Habitat data. Two NY females were found in leaf litter by a stream. In Canada found in black spruce forests, old-growth eastern white cedar swamps, and calcareous fens in moist Sphagnum moss and Sphagnum moss and litter; also, in moldy conifer duff at the base of a large white pine in a spruce forest, in moist moss in a mixed forest; on summit of Mt. Albert, QC (~ 1000m) with specimens being collected by sweeping grasses/ Carex of tundra. In AK found in birch bark (Klimaszewski et al. 2015b, 2018). Material. USA, New York, Greene Co.: East Durham, 14.X.1982, S.E. Thewke, leaf litter by stream, 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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.027 | 0.012 |
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".