Sanger sequencing and ddPCR raw data files (A species-specific digital PCR assay for the endangered blue racer in Canada)
Bibliographic record
Abstract
Manuscript title: A species-specific digital PCR assay for the endangered blue racer in Canada Authors: Orianne Tournayre, Ryan Wolfe, Hannah McCurdy-Adams, Amy A. Chabot and Stephen C.Lougheed Data: <strong>349360_chromats.zip</strong> (".ab1" files) : raw cytochrome b (cytb) sequences and chromatograms of 13 blue racer individuals collected on Pelee Island (Canada, see Table S1 for more information). Sequencing was done at the Centre for Applied Genomics (Toronto, Canada) using the L14910 (de Queiroz et al. 2002) and ColSeq1F (Burbrink et al. 2008) primers. ". ddpcr" files: ddPCR raw data generated using a Bio-Rad QX200™ AutoDG™Droplet Digital™ PCR System and direct quantification mode in the QX Manager 2.0 Standard Edition software (BioRad, Saint-Laurent, QC,Canada) <strong>In_vitro_data_ 20221214_145436_565.ddpcr</strong> : Standard concentration 1 Standard concentration 2: 1/2 dilution Standard concentration 3: 1/4 dilution Standard concentration 4: 1/8 dilution Standard concentration 5: 1/16 dilution Standard concentration 6: 1/32 dilution Standard concentration 7: 1/64 dilution Standard concentration 8: 1/128 dilution Standard concentration 9: 1/256 dilution Standard concentration 10: 1/512 dilution Standard concentration 11: 1/1024 dilution Standard concentration 12: 1/2048 dilution Standard concentration 13: 1/4096 dilution Standard concentration 14: 1/8192 dilution Standard concentration 15: 1/16384 dilution <strong>LOD_LOQ_data_20230113_145859_903.ddpcr</strong> <strong>In_situ_data_20221220_134107_549.ddpcr</strong>
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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 | 0.001 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".