Cell-based assays in high-throughput mode (HTS)
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
Typically, novel compounds are screened by the millions, a process known as high-throughput screening (HTS). HTS allows for the screening of millions of potential drugs in a relatively short period of time. All compounds are initially subjected to various tests to determine safety and efficacy. At the molecular level, typically two types of tests are available: in vitro and cell-based assays (i.e., in vivo ). The distinction between a cell-based assay and an in vitro screening is that the cell-based assay utilizes live cells – approximately 50 000 cells are seeded onto the floor of the well. Cell-based assays are used to measure proliferation, toxicity, marker production, motility, activation of signaling pathways, and changes in morphology. In such cases, other factors such as 2D versus 3D culture or static versus profusion cultures might also contribute to the results obtained. This study emphasizes the positive aspects of using cell-based assays in high-throughput mode.
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 | 0.001 | 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