<i>In Situ</i> Hybridization: Fruit Fly Embryos and Tissues
Bibliographic record
Abstract
Abstract It is well known that transcript localization controls important biological processes, including cell fate determination, cell polarity, cell migration, morphogenesis, neuronal function, and embryonic axis specification. Thus, the sub‐cellular visualization of transcripts in ‘their original place’ (in situ) is an important tool to infer and understand their trafficking, stability, translation, and biological functions. This has been made possible through the use of labeled ‘anti‐sense’ probes that can be readily detected after hybridization to their ‘sense’ counterparts. The following is a series of protocols for conducting in situ hybridization in Drosophila (fruit fly) embryos or tissues. Probe‐detection methods include a relatively simple alkaline phosphatase reaction, as well as higher‐resolution and higher‐throughput versions using fluorescence‐conjugated tyramide labeling. New modifications that enhance probe penetration and detection in various tissues are also provided. © 2017 by John Wiley & Sons, Inc.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 0.008 |
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".