Breve acercamiento a las fuentes de la liturgia compostelana
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Thrips biocontrol research in greenhouse crops has focused primarily on western flower thrips (WFT; <i>Frankliniella occidentalis</i>). However, recent outbreaks of onion thrips (OT; <i>Thrips tabaci</i>) in Ontario, Canada, demonstrate that biocontrol-based IPM programs for WFT do not control OT sufficiently to prevent crop losses. A lack of comparative studies makes it difficult to determine which program components for WFT are failing for OT. We conducted several laboratory trials examining the extent to which commercial biocontrol products kill OT compared to WFT. These included phytoseiid mites (<i>Amblyseius swirskii</i>, <i>Neoseiulus cucumeris</i>, <i>Amblydromalus limonicus</i>, <i>Iphiseius degenerans</i>), a large generalist predator (<i>Orius insidiosus</i>), an entomopathogenic fungus <i>(Beauveria bassiana</i> strain GHA), and entomopathogenic nematodes (<i>Steinernema feltiae</i>, <i>S. carpocapsae</i>, <i>Heterorhabditis bacteriophora</i>). In no-choice trials, <i>A. swirskii</i> and <i>O. insidiosus</i> consumed more OT than WFT (first instars and adults, respectively). In choice trials, <i>A. swirskii</i>, <i>N. cucumeris</i>, and <i>O. insidiosus</i> consumed more OT than WFT. <i>Steinernema feltiae</i> caused higher mortality in OT than WFT. There was no difference in mortality between thrips species exposed to other biocontrol agents. This suggests available tools have the potential to manage OT as well as WFT. Possible explanations why this potential is not realized in commercial settings are explored.
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.
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 | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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 it