Freshwater Eukaryotic and Prokaryotic Microalgae as a Source of Compounds with Anticancer Activities. Pt 1: Background and Assessment
Bibliographic record
Abstract
Although the percentage of cancer survivors has increased over time, cancer remains the second leading cause of death worldwide. Chemotherapy, a common approach to treating cancer, has been successful with certain types of cancer, but has limitations resulting from cancer drug resistance. To address this, the search for new, effective drugs from natural sources has expanded beyond commonly investigated organisms to include less explored eukaryotic and prokaryotic microalgae from freshwater habitats. Due to their ability to adapt to very diverse ecosystems, these microorganisms possess enormous potential to produce novel compounds with biological activities, including anticancer properties. While there has been increasing research on marine microalgae, their freshwater counterparts have not been studied to the same extent. This review highlights the opportunity with extracts and compounds from freshwater microalgae from work examining culture collections in terms of their potential for providing novel anticancer drugs.
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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 | 0.000 | 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 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".