Bibliographic record
Abstract
Argyresthiinae – needleminer moths 94 R Argyresthia abies Freeman, 1972 Jun – B – T: Freeman (1972) L: Pohl et al. (2004b) C: NFRC 95 * U Argyresthia calliphanes Meyrick, 1913 Jun – Aug – B g L:? Forbes (1923),? Covell (1984) C: Unknown 95.1 * P Argyresthia columbia Freeman, 1972 Jun M – – T: Freeman (1972) 96 R I Argyresthia conjugella Zeller, 1839 M Jun – M Jul M B g Apple Fruit Moth T: Busck (1907) L: Bowman (1951), Pohl et al. (2004b) C: CNC, NFRC 96.1 * P Argyresthia flexilis Freeman, 1960 Jun M – – T: Freeman (1972) 97 * R I Argyresthia goedartella (Linnaeus, 1758) Jul – b g T: Busck (1907) L: Bowman (1951), Pohl et al. (2004b) C: NFRC, UASM 98 R Argyresthia laricella Kearfott, 1908 Jul m B – Larch Shoot Moth T: Freeman (1972) L: Prentice (1965), Freeman (1972) C: CNC,?NFRC 99 R Argyresthia mariana Freeman, 1972 Jun – B – T: Freeman (1972) L: None C: NFRC 100 * R Argyresthia monochromella Busck, 1921 Jun M – – L: Bowman (1951) C: CNC 101 R Argyresthia oreasella Clemens, 1860 Jul – Aug M B g Cherry Shoot Borer T: Busck (1907) L: Bowman (1951), Prentice (1965), Pohl et al. (2004b) C: CNC, NFRC, OLDS, UASM 102 R Argyresthia picea Freeman, 1972 M May – M Jun M B – T: Freeman (1972) L: None C: NFRC 103 R H Argyresthia pygmaeella (Hübner, 1810) Jul M B g T: Busck (1907) L: Bowman (1951), Prentice (1965), Pohl et al. (2004b) C: CNC, NFRC, OLDS, UASM
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) | 0.000 | 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 0.007 |
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".