Bibliographic record
Abstract
Atheta annexa Casey, 1910 Fig 38, Map 38 Additional Records. CANADA, New Brunswick, Carleton Co., “Two Mile Brook Fen”, 46.3712°N, 67.6772°W, 4.VIII.2006 (1 ♀, RWC). Saint John Co., Fundy Trail Parkway, 45.3972°N, 65.4523°W, 23.VIII.2006 (1 ♁, RWC). Sunbury Co., Lakeville Corner, 45.9007°N, 66.2423°W, 27.VIII.2006 (1 ♁, RWC); Acadia Research Forest, 46.0188°N, 66.3765°W, 18.IX.2007 (1 ♁, AFC). York Co., Charters Settlement, 45.8395°N, 66.7391°W, 15.IV.2004, 3.V.2004, 21.VI.2004, 28.IX.2005 (2 ♁, 4 ♀, RWC); Charters Settlement, 45.8340°N, 66.7450°W, 30.IV.2005 (1 ♀, RWC); Charters Settlement, 45.8430°N, 66.7275°W, 8.X.2005 (1 ♁, RWC); Fred- Map 38. Collection localities in New Brunswick, Canada of Atheta annexa. ericton at Saint John River, 45.9588°N, 66.6254°W, 7.VI.2005 (1 ♀, RWC); 8.4 km W of Tracy off Rt. 645, 45.6821°N, 66.7894°W, 6.V.2008 (1 ♀, RWC). Bionomic Notes. In New Brunswick, A. annexa was found in gilled mushrooms, coral fungi on spruce log, fleshy polypore fungi at base of dead standing Populus sp., among decaying vegetables, under spruce bark in wood pile, and in flood debris along a river margin. Th is species was found in mixed forests, mature red spruce and yellow birch forests, mature red spruce and red maple forests, and in wet alder swamps. Elsewhere this species has been collected from various kinds of decaying organic debris including raccoon dung, decaying fungi, moldy corncobs and from nests of wood-rats, Neotoma sp. (Klimaszewski and Peck 1986, Majka and Klimaszewski 2008b). Adults in New Brunswick were collected in April, May, June, August, September and October. Collection method: sifting. Distribution in Canada and Alaska. ON, QC, NB, NS (Klimaszewski and Peck 1986; Gusarov 2003; Majka and Klimaszewski 2008b)
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.071 | 0.019 |
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".