Additional file 2 of Genomic organization and evolution of the Atlantic salmon hemoglobin repertoire
Bibliographic record
Abstract
Additional file 2: Table S2A-C: Identified Atlantic salmon putatively functional and pseudogenized hemoglobin genes. S2A) Identified putatively functional Atlantic salmon α hemoglobin genes with chromosome, sequence contig number and approximate location (kb), strand of transcription, most highly similar Atlantic salmon EST cluster (if any), whether the gene has a corresponding full-length EST, whether the gene matches any of the previously published Atlantic salmon hemoglobin genes at the amino acid level and whether the gene is identical to any of those identified on the other Atlantic salmon chromosome. S2B) Identified putatively functional Atlantic salmon β hemoglobin genes with chromosome, sequence contig number and approximate location (kb), strand of transcription, most highly similar Atlantic salmon EST cluster (if any), whether the gene has a corresponding full-length EST, whether the gene matches any of the previously identified Atlantic salmon hemoglobin genes at the amino acid level, whether the gene is identical to any of those identified on the other Atlantic salmon chromosome, and whether the β hemoglobin gene possesses the hallmarks of lacking the Bohr effect. S2C) Putatively identified Atlantic salmon hemoglobin pseudogenes with chromosome, sequence contig, location (kb), direction and descriptions of each exon. (PDF 46 KB)
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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 | 0.001 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.832 | 0.217 |
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".