Playback Cloning: Simple, Reversible, Cost-effective Cloning for the Combinatorial Assembly of Complex Expression Constructs
Bibliographic record
Abstract
With advancements in multicomponent molecular biological tools, the need for versatile, rapid and cost-effective cloning that enables successful combinatorial assembly of DNA plasmids of interest is becoming increasingly important. Unfortunately, current cloning platforms fall short regarding affordability, ease of combinatorial assembly and, above all, the ability to iteratively remove individual cassettes at will. Herein we construct, implement and make available a broad set of cloning vectors, called PlayBack vectors, that allow for the expression of several different constructs simultaneously under separate promoters. Overall, this system is substantially cheaper than other multicomponent cloning systems, has usability for a wide breadth of experimental paradigms and includes the novel feature of being able to selectively remove components of interest at will at any stage of the cloning platform.
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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".