Bibliographic record
Abstract
Fluorescence in situ Hybridization (FISH) involves the preparation of two main components: the DNA probe and the target DNA to which the probe will be hybridized. The DNA probe typically comes from cloned sources such as plasmids, cosmids, PACs, YACs, or BACs; where the insert may contain a specific gene or originate from a specific chromosomal locus. Whole-chromosome paints may also be used but are usually applicable to metaphase preparations. The purified DNA can then be labeled and detected indirectly using haptens, or labeled directly using fluorochrome or dye-conjugated nucleotides. Labeling strategies are also variable, employing standard nick translation or PCR labeling methods. The target DNA can take the form of chromosomes spreads or interphase nuclei. The sources of interphase targets may come from cytogenetic preparations or from paraffin-embedded tissues. Both the labeled DNA probe and DNA target are denatured to a single-stranded state and permitted to hybridize to each other. Post-hybridization washes and fluorescently-labeled antibody incubations follow the 24-hour hybridization, and the specimen is ready for visualization by fluorescent microscopy. Successful interpretation of FISH experiments is dependent on the quality of the starting materials, hybridization efficiencies, and stringency of post-hybridization washes and antibody detections.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.010 |
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".