Bibliographic record
Abstract
Acrotrichis (s.str.) castanea (Matthews, 1877) — CANADA: Québec, 4 mi W Masham nr. Mud Lake 17.VIII 1967 leg. J.M. Campbell (1, CNC); Ontario, Kanata 16.VI 1975 leg. S.D. Hicks (1, CNC); Manitoba, Winnipeg, Univ. of Manitoba Campus, Honeyhouse 15–22.VII 1991 leg. R.E. Roughley ‘‘ suction trap at Red River’’ (2, WUMB); Alberta, 2.5 mi SE Kananaskis, F.E.S. 15.VIII 1970 leg. E.E. Lindquist (18, CNC); British Columbia, Monashee mtn near Cherryville 14–1,600 m 11.VIII 1982 leg. M. Sörensson ‘‘mouldy coniferous litter’’ (212, MSUL); U.S.A.: New Hampshire, Coos Co., 1 mi S. Jefferson Notch 2,700 9 7.IX 1975 leg. Newton and Thayer 1 female ‘‘berl. litter spruce-fir-birch forest floor’’ (MCZ); Illinois, Jo Davless Co., NW. Elisabeth, Angoma Farm 14.XI 1965 leg. S. Peck 13 females ‘‘soilberl.tocave’’ (FMNH, MSUL); Arizona, Graham Co., 14 mi W Artesia, Pinaleno mts 7,600 9 9.VI 1986 leg. M. Sörensson and B. Mårtensson 7 females (MSUL); Colorado, 10 mi SE Aspen, White River N.P. 10,000 9 27.V 1986 leg. M. Sörensson 23 females ‘‘mouldy coniferous litter at melting stream’’ (MSUL); Idaho, Cassia Co., Howell Cyn 30.V 1976 leg. A.D. Allen 4 females ‘‘fir duff’’ (MM); Utah, Monti Lasal N.F., Geyser Pass 3,050 m 9.VIII 1976 leg. P. Hammond ‘‘pine cone debris’’ (7, BMNH, MSUL); California, Trinity Co., 4 mi W Forest Glen 3,300 9 1.VII 1975 leg. Newton and Thayer 13 females ‘‘flood debris along small stream’’ (MCZ, MSUL); Oregon, Umatilla Co., 10 km NW Elgin 24.VIII.1982 leg. M. Sörensson ‘‘litter along mountain stream’’ (35, MSUL); Washington, Okanogan Co., Okanogan near Buzzard Lake 1– 2.VIII 1982 leg. M. Sörensson ‘‘litter at stream in mixed forest’’ (16, MSUL); Alaska, Denali St. Pk, Byers Lk. Cpgd 23.VI 1978 leg. Smetana and Becker (1, CNC);
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 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 | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.021 | 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".