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
An authoritative reference on the subject of using non-chemical controls on greenhouse-grown crops, this book explains the latest in crop-management techniques from around the globe. The contributing authors come from the United States, Canada, the United Kingdom, Spain, the Netherlands, Germany, Denmark, Italy, and Asia. Biological control factors and the various types of controls -- predators, parasites, nematodes, and pathogens -- are described. Information is also provided on greenhouse structures, sampling, quality control, specific pests on both ornamental and vegetable crops -- whiteflies, spider mites, leafminers, thrips, aphids, other minor pests -- and soil borne pests. Specific crops are also discussed, including chrysanthemums, poinsettias, cut flowers, foliage plants, woody ornamentals, bedding plants, cucumbers, sweet peppers, tomatoes, and mushrooms.
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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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