Identification and genotyping of zebrafish with Imna KO
Bibliographic record
Abstract
Results/Discussion 1 2 3 4 5 6 7 8 9 10 11 12 13 14 Figure 2: PCR samples digested by the T7E1 enzyme was run on a 2% agarose gel for 50 minutes at 120V.The following are run on each lane -1: GeneRuler -DNA Ladder Mix, 2: positive control (-actin), 3: negative control (no enzyme), lane 4 and 6: wt control for fish micro-injected with gRNA targeting lmna exon 7, lane 5: wt control for fish micro-injected with gRNA targeting lmna exon 2, lane 7: DNA sample from a fin clips of a fish that has been injected with Cas9 mRNA and lmna gRNA targeting exon, lanes 8-13: DNA samples from fin clips of different fish that have been injected with Cas9 mRNA and lmna gRNA targeting exon 7.
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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".