Validation of the Names of Five Weevil Taxa Described by Anderson et al., A Review of the Araucaria-Associated Weevils of the Tribe Orthorhinini (Coleoptera: Curculionidae: Molytinae), with Description of New Species of Ilacuris Pascoe, 1865 and Notopissodes Zimmerman & Oberprieler, 2014 and a New Genus, Kuschelorhinus Anderson & Setliff; Diversity, 2018, 10, 54
Bibliographic record
Abstract
One new genus and four new species of the Orthorhinini from Australia and Papua New Guinea are described, with bibliographic reference to complete descriptions and illustrations in the recent paper by Anderson et al. (2018) published in the journal Diversity 10 (3), 54, in which the names were not made available under the rules of the International Code of Zoological Nomenclature dealing with electronic publication, as follows: Ilacuris papuana Anderson & Setliff, sp. n., Ilacuris suttoni Anderson & Setliff, sp. n., Notopissodes variegatus Oberprieler, sp. n., Kuschelorhinus Anderson & Setliff, gen. n. and Kuschelorhinus hirsutus Anderson & Setliff, sp. n.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".