Bibliographic record
Abstract
Lariophagus distinguendus (Förster, 1841) Hosts. Bruchus brachialis Fahraeus (Brimley 1938); Callosobruchus chinensis (L.) (Niedermayer et al. 2016) on Vigna unguiculata (L.) Walp. (Belows 1985); Callosobruchus maculatus (Fabricius) (Bellows & Hassell 1988; Niedermayer et al. 2016) on Vigna unguiculata (L.) Walp. (Belows 1985). Distribution. AUSTRALASIAN: Australia (Queensland, South Australia), New Zealand. NEARCTIC: Canada (British Columbia, Ontario), United States of America (California, Florida, New York, North Carolina, Texas, Virginia). NEOTROPICAL: Argentina, Brazil (Rio Grande do Sul), Chile, Mexico, Uruguay. ORIENTAL: India (Kerala, Tamil Nadu), Nepal, Sri Lanka, Thailand. PALEARCTIC: Austria, Belgium, Bulgaria, Croatia, Czech Republic, Czechoslovakia, Egypt, Germany, Hungary, Israel, Italy, Japan, Kazakhstan (Tselinograd Obl.), Korea, Lebanon, Morocco, Netherlands, Peoples’ Republic of China (Hong Kong), Portugal (Madeira), Romania, Russia, Serbia, Slovakia, Sweden, Switzerland, South Korea, Turkey, Ukraine, United Kingdom, USSR, Yugoslavia.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.021 | 0.020 |
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; both teacher heads agree on what is shown here.
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".