Fourth summary of the native seed germination studies of Norman C Deno: species with names beginning with letters<i>L</i>through<i>O</i>
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
Norman C Deno was a renowned professor of chemistry at Penn State University and an avid amateur horticulturist with interest in seed germination. Dr Deno conducted germination research on plant species derived from 150 families, 800 genera, and 2500 species. He studied the effects of temperature, oscillations in temperature, light, storage conditions, seed age, outside exposure during cold months, and treatment with GA3. He worked with species collected worldwide. Over a period of many years, he self-published several books derived from notes based on his research. A series of monographs have been prepared for the Native Plants Journal that provide a summary of Dr Deno’s research reports for plants native to Canada, the United States, and Mexico. This fourth article is inclusive of species with taxonomic binomials beginning with the letters <i>L</i> through <i>O</i>.
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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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