Lemmus nigripes Pokrovski et al. 1984
Bibliographic record
Abstract
Beringian Lemming Lemmus nigripes (True, 1894) Type locality: Saint George Island, approx. 56.5950°N, 169.5168°W, Pribilof Islands, Alaska, USA [cytb sequence of a topotype: AY219164] (Miller & Kellogg 1955; Fedorov et al. 2003). Synonyms: L. alascensis Merriam, 1900 [TL: Point Barrow, approx. 71.3338°N, 156.5970°W, Alaska, USA; cytb sequence of a topotype: AY219147] (Miller & Kellogg 1955; Fedorov et al. 2003); L. yukonensis Merriam, 1900 [TL: Charlie Creek (=Charley River), approx. 65.2968°N, 142.7363°W, Yukon River, Alaska, USA] (Miller & Kellogg 1955); L. obensis chrysogaster Allen, 1903 [TL: vicinity of Gichiga, approx. 61.9492°N, 160.3810°E, Magadan Region, Russia; cytb sequence of a topotype: KT877362] (Abramson et al. 2018); L. minusculus Osgood, 1904 [TL: Kakhtul River near its junction with Malchatna River, approx. 59.6514°N, 157.0733°W, Alaska, USA; cytb sequence of a topotype: AY219153] (Miller & Kellogg 1955; Fedorov et al. 2003); L. flavescens Vinogradov, 1926 [TL: Kamchatka, Russia; cytb sequence of the lectotype: KX455619] (Abramson & Petrova 2018); L. harroldi Swarth, 1931 [TL: Nunivak Island, approx. 60.3646°N, 166.2422°W, Alaska, USA] (Miller & Kellogg 1955). Distribution: Beringian species, the range of which covers northeastern Asia (Chukotka, northeastern edge of the Magadan Region, and a local isolate on Kamchatka) and northwestern North America (Aleutian Islands, Alaska, and western edge of Yukon) (Fedorov et al. 2003; Abramson & Petrova 2018). Comments: This species has no less than six synonyms introduced for samples from both sides of the Bering Strait. Most of these names were revised on the basis of sequenced topotypes (Fedorov et al. 2003; Abramson & Petrova 2018; Abramson et al. 2018). Several samples of Lemmus nigripes from Kamchatka and southern Chukotka share divergent cytb haplotypes, and populations in these regions can represent subspecies-level taxa. Hence, the intraspecific taxonomy of the Beringian Lemming needs to be revised based on an expanded molecular dataset.
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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 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 0.003 |
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".