Bibliographic record
Abstract
Apanteles carpatus (Say, 1836) Distribution in Iran. Isfahan (Ghahari et al. 2011c), Mazandaran (Ghahari et al. 2010a), Sistan & Baluchestan (Samin 2015). Distribution outside Iran. Alaska (Fernández-Triana 2010), Argentina, Armenia, Australia, Bermuda, Brazil, Canada, China, Croatia, Cuba, Democratic Republic of Congo, Fiji, Finland, France, Germany, Ghana, Greece, Grenada, Hungary, Japan, Kazakhstan, Latvia, Lithuania, Malaysia, Moldova, Mongolia, Mozambique, New Zealand, Poland, Puerto Rico, Romania, Russia, Serbia, South Africa, Spain, Switzerland, Tanzania, Turkey, Turkmenistan, USA, UK, Uzbekistan, Vietnam, former Yugoslavia (Yu et al. 2012). Host records. Muesebeck (1920) and Papp (2007) reported Tinea pellionella and Trichophaga tapetzella as hosts of A. carpatus as well as Tineola biselliella and T. fuscipunctella (Nixon 1965). In the USA it has been reported from Trichophaga tapetzella and Tinea pellionella (Muesebeck 1920), while in Japan reported from T. pellionella (Watanabe 1937). Yu et al. (2012) recorded A. carpatus from the following lepidopteran hosts: Acrobasis caryivorella, Dendrolimus sibiricus, Doloessa viridis, Epanaphe carteri, Grapholita funebrana, G. molesta, Gypsonoma minutana, Illiberis sinensis, Lymantria dispar, Niditinea spretella, Oecia oecophila, Orgyia leucostigma, Pectinophora gossypiella, Phereoeca uterella, Phthorimaea operculella, Praeacedes atomosella, Protolychnis maculate, Pyralis farinalis, Sparganothis pilleriana, Tegulifera audeoudi, and Tinea columbariella. It has also been reported from Diptera: Kiefferia pericarpiicola and Musca domestica, and from Hymenoptera: Baryscapus tineivorus and Polistes annularis (Yu et al. 2012).
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.025 | 0.010 |
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".