New records of Ostrinia ovalipennis (Lepidoptera: Crambidae) from Hokkaido, and morphometric analyses for species identification and geographic variation
Bibliographic record
Abstract
Ostrinia ovalipennis has been recorded only in Shigakogen, a highland area in Honshu.Here, we report the occurrence of the species in Hokkaido.Since Ostrinia latipennis, a close relative of O. ovalipennis, is distributed widely in northeastern Japan, these two species occur sympatrically at some localities.The two species can be diagnosed based on the wing morphology.Another diagnostic character useful for distinguishing the Shigakogen population of O. ovalipennis from O. latipennis, i.e., the sacculus length (SL) of male genitalia, could not distinguish some individuals of the Hokkaido population of O. ovalipennis from O. latipennis.To revise the species diagnosis of the two species in terms of male morphometric traits, and to compare the degree of geographic differentiation in morphology between the two species, we analyzed 10 morphological traits.A linear discriminant analysis showed that O. ovalipennis could be distinguished from O. latipennis by a combination of two traits, SL and mid femur length.Morphological differentiation was greater between the Shigakogen and Hokkaido populations of O. ovalipennis than between the same local populations of O. latipennis.We suggest that the difference in the degree of geographic differentiation between the two species has been caused by the difference in their distribution patterns.
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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 | 0.002 | 0.001 |
| 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) | 0.001 | 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".