Bioassay-guided fractionation of antifouling compounds using computer-assisted motion analysis of brown algal spore swimming
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Antifouling extracts from the sea stars Astropecten articulatus and Luidia clathrata and from the brittle star Astrocyclus caecilia were fractionated by solid phase extraction and high performance liquid chromatography. Bioactive fractions were identified with the use of computer-assisted motion analysis-based bioassays utilising previously described Hincksia irregularis spore swimming behaviour parameters. Quantified parameters of spore movement were rate of change of direction (RCD) and speed (SPEE). The methods used initially required only 10 microg equivalent amounts of total crude extract and each resultant resolving step (normalised to 1 mg ml(-1) of crude, unfractionated extract) required far less material. Statistical analyses of RCD and ratios of RCD:SPEE values in experiments comparing swimming in the presence of extract fractions to controls revealed that both parameters were useful individually and in combination for efficiently following compound bioactivity throughout the fractionation procedure. This technique was also able to detect synergistic or additive interactions between compounds.
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.
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 it