Bibliographic record
Abstract
Sparganothidini 516 R <i>Sparganothis sulfureana</i> (Clemens, 1860) Jul – Aug – B – T: Lambert (1950), Pogue and Lavigne (1981) L: Bowman (1951), Prentice (1965), Pogue and Lavigne (1981) C: NFRC, OLDS, UASM 517 R <i>Sparganothis tristriata</i> Kearfott, 1907 Jul – Aug – B – T: Lambert (1950) L: Prentice (1965) C: CNC, NFRC 518 * R <i>Sparganothis xanthoides</i> (Walker, 1863) L Jun – E Aug – B g T: Lambert (1950) L: Lambert (1950), Bowman (1951), Pohl et al. (2004b) C: CNC, NFRC, OLDS, UASM 519 R <i>Sparganothis violaceana</i> (Robinson, 1869) Jun M B g T: Lambert (1950) L: Bowman (1951) C: CNC, NFRC, UASM 520 R <i>Sparganothis unifasciana</i> (Clemens, 1864) Jun – Aug – b G T: Lambert (1950), Pogue and Lavigne (1981) L: Pohl et al. (2005) C: CNC, NFRC, OLDS 521 R <i>Sparganothis vocaridorsana</i> Kearfott, 1905 Jun – Jul M b G T: Lambert (1950), Pogue and Lavigne (1981) L: Lambert (1950), Bowman (1951) C: CNC, NFRC, OLDS, PMAE, UASM 522 R <i>Sparganothis reticulatana</i> (Clemens, 1860) Jul – B g T: Lambert (1950) L: Bowman (1951), Pohl et al. (2004b) C: CNC, NFRC, OLDS, UASM 523 R <i>Platynota idaeusalis</i> (Walker, 1859) L Jun – E Aug – B – T: Lambert (1950), Pogue and Lavigne (1981) L: Bowman (1951), Pohl et al. (2004b) C: AGRL, CNC, NFRC, OLDS, UASM 524 R <i>Amorbia humerosana</i> Clemens, 1860 May – B – T: Lambert (1950) L: Bowman (1951) C: CNC, NFRC, 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 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 | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.080 | 0.025 |
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".