Bibliographic record
Abstract
Acrotrichis (s.str.) xanthocera (Matthews, 1877) — CANADA: Québec, Sept.-Iles, Saguenay 21.IX 1985 leg. C. Chantal (16, CCC, MSUL); Ontario, Kanata 16.VI 1975 leg. S.D. Hicks (1, CNC); Alberta, 22.VIII 1991 leg. B.F. and J.L. Carr (1, CJLC); British Columbia, near Cherryville at Monashee Mtn 14–1,600 m 9–11.VIII 1982 leg. M. Sörensson ‘‘alder litter at stream’’ (75, MSUL); U.S.A.: New Jersey, Burlington Co., Rancocas St. Park, Rancocas 28.VIII 1976 leg. Newton and Thayer 20 females ‘‘berl. litter mixed hdwd forest’’ (MCZ); New Hampshire, Belk. Co., 2 mi NW Wanalancet 21.X 1983 leg. D.S. Chandler ‘‘sift rotten wood’’ (5, EDNH); West Virginia, Morg. Co., Cacapon Sta. Pk 31.V 1983 leg. D.S. Chandler ‘‘sift oak leaf litter along stream’’ (3, EDNH, MSUL); New Mexico, Lincoln Co., 6 mi SW. Corona, Red Cloud Campground 7,300 9 2.VI 1986 leg. M. Sörensson and B. Mårtensson 102 females (MSUL); Arizona, Cochise Co., 3 mi SW Portal, Cave Cr. Canyon, Chiricahua mts 5,100 9 5.VI 1986 leg. M. Sörensson and B. Mårtensson 168 females (MSUL); Colorado, Custer Co., 14 mi W Beulah, 9,000 9 28.V 1986 leg. M. Sörensson 1 male 52 females (MSUL); California, Santa Cruz Co., Redwood Est., 27.III 1954 leg. J. Halffter 15 females (MCZ); Oregon, Salem 27.IV 1955 leg. V. Roth (5, ESNN); Washington, Snohomish Co., Chase Lake. V 1952 leg. W.T. Edmundson 1 female (ESNN);
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 | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.016 | 0.005 |
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".