Variações diárias, sazonais e intraespecíficas em Piper solmsianum
Bibliographic record
Abstract
The crude extracts of seven individuals of Piper solmsianum collected in different places were analyzed by high efficiency liquid chromatography (HPLC) in order to determine changes in the relative content of apiol, dillapiol, myristicin, grandisin, elemicin, isoelemicin, and tetrahydrofuran lignan rel-(7R,8R,7′R,8′R)-3,4,3′,4′dimethylenedioxy-5,5′-dimethoxy-7,7′-epoxylignan.All chromatographic profiles consisted of two, three or four major peaks with significant qualitative and quantitative differences.Major components were different from plant to plant and in one specimen an component different from the seven metabolites observed in most cases.The leaf extracts from three wild specimens of P. solmsianum collected at CUASO Reserve, showed annual and diurnal variations in apiol/dillapiol and grandisin relative concentrations.Three plants presented circadian variation with maximum content of grandisin late afternoon, and minimum content in the dawn.Apiol/dillapiol displayed clear circadian variation in two individuals, but without synchrony between phases.The maximum content was observed and in a second specimen around 8 p.m., and in the another specimen, the maximum content occur was observed at 5 a.m.The seasonal variation showed small amplitude of oscillation and in two individuals the maxima contents of apiol/dillapiol and grandisin were observed in summer.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".