Ptenidium speculifer Matthews 1884
Bibliographic record
Abstract
Ptenidium speculifer Matthews, 1884 — CANADA: Newfoundland, Northwestern NF, Cooks Harbour 22.VII 1949 leg. C.H. Lindroth (1, MSUL); Québec, Hull, Gatineau Park near Kidder Lake 17.VIII 1980 leg. M. Sörensson (2, MSUL); Ontario, Sudbury Co., Mattagami 23.VIII 1980 leg. M. Sörensson (6, MSUL); Alberta, ‘‘ Tp 38 Rg 7 W5’’ 11.VIII 1991 leg. J.L. Carr (5, CJLC, MSUL); U.S.A.: New Hampshire, Straf Co., 1 mi SW Durham 21.IV 1982 leg. D.S. Chandler ‘‘sift litter by marsh’’ (1, MSUL); Virginia, Pulaski Co., 7 mi SE Mechanicsburg 9.X 1985 leg. R. Baranowski ‘‘sift leaf litter in dec. forest’’ (8, MSUL); North Carolina, Surry Co., Pilot Mtn St. Park 6.X 1985 leg. R. Baranowski ‘‘leaf litter in small canyon with primary forest’’ (4, MSUL); Michigan, Chippowa Co., Mich. 28, 0.5 mi E. Hendric R. 23.VII 1978 leg. Newton and Thayer (3, MCZ, MSUL).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.026 | 0.014 |
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; both teacher heads agree on what is shown here.
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".