Bibliographic record
Abstract
Hox proteins are important regulatory molecules used by almost all animal groups to establish body features during embryonic development. They are produced by a cluster of genes called the hox genes. Since these hox genes are highly conserved across taxa, they can be used to study evolutionary relatedness between different animals and to explain the great diversity of animal body forms observed in nature. The Rocky Mountain wood tick, Dermacentor andersoni is commonly found in parts of southern British Columbia, Alberta and Saskatchewan and can spread diseases like the Rocky Mountain spotted fever and tick paralysis. Research has been conducted on the embryonic development of this tick to aid in understanding its life cycle. The purpose of this study is to examine the timing and location of hox gene expression in D. andersoni embryos, using RT-PCR and In-situ hybridization. It is hypothesized that hox genes will be expressed in the early stages of development when body segments are established and appendages start developing. It is expected that the location of expression will vary for each hox gene examined, based on its location in the tick genome. The data can be used to fill gaps in knowledge about tick hox expression and can provide information on tick evolution. Discipline: Biology Faculty Mentor: Dr. Kevin Friesen
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 | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".