Echiniscus canadensis Murray 1910
Bibliographic record
Abstract
14. Echiniscus canadensis Murray, 1910 [T] E. canadensis (Ramløv & Kristensen 1985) Terra typica: Canada (North America) Algeria: • 34°40′N, 06°11′E; 0 m asl: Biskra Province, 30 km from Biskra, El Oued [Zeribet el Oued]. Binda & Pilato (1987) Morocco: • 33°04′N, 05°00′W; 2,000 m asl [2,100 m asl]: Meknès-Tafilalet Region, near Aguelmane de Si-Ali (Col du Zad) [Aguelmame Sidi Ali Lake], scattered basalt blocks (lava field) lying on the shores of the lake, mosses on basalt blocks. Ramløv & Kristensen (1985) • 30°27′N, 07°32′W; 1,850 m asl: Souss-Massa-Drâa Region, Tizi-n-Taghatine, sparse vegetation, mosses and lichens on isolated basalt cliffs. Ramløv & Kristensen (1985) Record numbers. Algeria: 1, Morocco: 2; total: 3. Remarks. Species with a typical Holarctic distribution, widely distributed in Europe and North America (McInnes 1994) (the uncertain records from Argentina need confirmation – Kaczmarek et al. 2015).
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".