Flavonoids of the Sunflower Family (Asteraceae)
Bibliographic record
Abstract
Certainly many of the readers of this book will remember the early developments of chemosystematics in the late 1950s.We ourselves remember the excitement of these new data bearing on plant interrelationships.The hopes were high, the techniques were rapidly evolving, the quantities of data were large, and young workers were eagerly enthusiastic.Some even went so far as to predict that chemical data would soon replace morphological information as the basis for plant classification.These overly zealous predictions did not materialize, of course, as the history of plant systematics has amply shown during the past two centuries.If there is any distinct characteristic of systematics it is synthesis, as Lincoln Constance (1964) called it, the "unending synthesis."New tools generate new data and provide insights on additional dimensions of plant relationships.This will never change-we will continue to discover new tools and new data in the years ahead, and they will continue to be incorporated into the predictive general reference system of classification.The earlier efforts in chemosystematics focused on secondary plant products: alkaloids, betacyanins, carbohydrates, cyanogenic glycosides, glucosinolates, lipids, terpenoids, and especialiy flavonoids.The latter were particularly well suited for chemosystematic investigation for several reasons: ease of isolation and characterization, small amounts of plant material needed for analysis, stability of compounds especially through routine preparation of herbarium specimens, and low cost to obtain useful information.As a result of these considerable advantages, literally thousands of studies on use of flavonoids in plant systematics have been published.Although now with the present zest for macromolecular data from DNA restriction sites and sequences, there are fewer workers and laboratories dedicated to flavonoid chemosystematic studies; twenty years ago they were the new currency of exciting data in plant systematics.Because of many workers historically interested in the sunflower family, Asteraceae (or Compositae), in part due to its large size (approximately 23,000 species; Bremer, 1994), and because hundreds of flavonoid compounds were discovered in this family, many chemosystematic investigations have been completed on various taxa.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".