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: 349360_chromats.zip (".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) In_vitro_data_ 20221214_145436_565.ddpcr : 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 LOD_LOQ_data_20230113_145859_903.ddpcr In_situ_data_20221220_134107_549.ddpcr
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.136 | 0.073 |
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".