The subgenus <i>Arctotipula</i> Alexander in the genus <i>Tipula</i> Linnaeus (Diptera: Tipulidae) on Wrangel Island, Russia (Chukotka Autonomous Okrug)
Bibliographic record
Abstract
Abstract Wrangel Island, Russia, because of its geographic position, harsh climate, yet surprising biodiversity, has been geobotanically studied and divided into various subzones. The distributions of the three species of the subgenus Tipula (Arctotipula) (Diptera: Tipulidae) that have been collected on Wrangel Island are related to these subzones. The predominantly Nearctic species, T. (A.) besselsoides Alexander, 1919, is newly recorded for Russia as well as on this island, where it was found to be the most widespread of the three species. The Holarctic species, T. (A.) salicetorum Siebke, 1870, is rarer, being found mostly in the climatically harsh northern and eastern areas of the island. The third species, T. (A.) oklandi Alexander, 1922, which was thought to have been more widespread formerly, is here confirmed only for Russia. It was collected in the warmest part of the island, and the female is illustrated for the first time. An illustrated key to both male and female adults is presented. Distribution maps are provided for all species, and the data on the distribution of oklandi have been adjusted.
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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 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".