Bibliographic record
Abstract
The compressed Biasoli_et_al data folder was created using 7-Zip 9.20. The folder contains: \n\n(1) canineHD array (Illumina) genotype data: Plink Map and Ped files for the 6 Study Sets listed in Supplementary Table\nS1. The individuals listed in the Ped files had a SNP call rate of >90%.\n(2) BAM files (and associated BAM index files) created (using BWA) by alignment of Fastq format paired-end sequence\nreads of a 2.9Mb region of CFA31 (CFA31:34433688-37366557), captured from 6 Labrador Retrievers affected by a\nmast cell tumour and 6 unaffected Labrador Retrievers, to the CanFam3.1 reference Boxer genome.\n(3) A text file listing the case/control status of the Labrador Retrievers whose 2.9MB CFA31 region sequences are\nrepresented in the BAM sequence alignment files.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.542 | 0.266 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".