Piperine's Potentials: a Study Carried out by Means of Scientific and Technological Prospection Techniques
Bibliographic record
Abstract
Piperine is the majority product of the species Piper nigrum L, popularly known in Brazil as black pepper. This compound presents numerous pharmacological properties of great interest in different fields of science. In this way, the present article had as objective to carry out a scientific and technological prospection study on this molecule, and for this, prospection techniques were employed using the Scopus, INPI and LENS databases. As for scientific publications, it was observed that China was the country holder of the largest number of scientific articles; Brazil appears in fourth position. About the technological prospection, the mapping performed showed that there are still a very limited number of patent publications. In the INPI database only 03 patents were obtained and in the LENS database 36 were obtained. In addition, the article brings discussions related to prospecting data, which are necessary for the understanding of the main proposal; demonstrate the innovative potential that piperine presents.
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How this classification was reachedexpand
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 | 0.001 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".