Bibliographic record
Abstract
Somatic embryos of hybrid larch (Larix × leptoeuropaea) have significantly fewer cotyledons per embryo than embryos of zygotic origin. They also have a much greater variance and range in cotyledon number (zero to 15) than do seed embryos (four to seven), as well as a greater number of phenotypes. Somatic embryos were matured on modified Murashige and Skoog’s (1962) medium supplemented with one of the following combinations of growth‐regulating substances: (1) 60 μM abscisic acid (ABA), (2) 2.2 μM benzyladenine (BA), (3) 60 μM ABA and 2.2 μM BA, or (4) a control medium containing neither plant growth regulator. Of these treatments, BA caused the greatest reduction in cotyledons per embryo. Embryos produced on different BA concentrations (0, 0.04, 0.4, 4.4, 44, and 444 μM) showed significant differences in cotyledon number per embryo as well as percentage of embryos with cotyledons. At higher concentrations, BA‐treated embryos had shorter hypocotyls and longer cotyledons than embryos produced at lower concentrations. At concentrations >4.4 μM, BA reduced the percentage of embryos able to initiate cotyledons. Precocious germination was reduced by concentrations of BA above 0.44 μM BA.
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 | 0.000 | 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) | 0.001 | 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 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".