Oziella sibirica (Acari: Eriophyoidea: Phytoptidae), a new eriophyoid mite species described using confocal microscopy, COI barcoding and 3D surface reconstruction
Bibliographic record
Abstract
Oziella sibirica sp. nov., collected from sedges (Cyperaceae: Carex macroura) in Siberia, Russia, is herein describedbased on the external morphology of all active instars using primarily conventional phase contrast microscopy, andon the female internal genitalia and prodorsal shield design using confocal laser scanning microscopy (CLSM)imaging and a 3D modelling technique. A partial mitochondrial COI gene sequence of O. sibirica sp. nov. is alsoprovided, through GenBank, and this represents the first published record of any gene sequence data for the familyPhytoptidae. We present remarks on the phylogenetic significance of the position of setae 3a in immature instars oferiophyoids and on the ontogenic variability of the empodium morphology of O. sibirica sp. nov. Using this speciesas a model, we propose a method for describing the internal genitalia of eriophyoids based on CLSM. We advocatethe use of CLSM imaging as a new, relatively simple technique for observing and describing the internal genitalia oferiophyoids, as these largely unexplored genitalic structures may provide phylogenetically meaningful informationfor improving the classification of this poorly understood group of mites. In addition, CLSM may complementconventional light microscopy techniques in facilitating the interpretation of external structures such as body ornamentation or chaetotaxy.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".