Quantitative differences in protein levels between mountain pine beetle, Dendroctonus ponderosae, larvae collected from host lodgepole pine trees in September and November
Bibliographic record
Abstract
Proteomics data (XLSX file) for overwintering mountain pine beetle, Dedroctonus ponderosae, larvae live-collected from lodgepole pine hosts in September and November. Collections were made near to Valemont, British Columbia, Canada. Please cross reference the following TXT file of FASTA nucleotide data to further investigate any particular protein: http://dx.doi.org/10.6084/m9.figshare.156056 Similar proteomic data for spring-collected larvae are available here: http://dx.doi.org/10.6084/m9.figshare.156054 These data pertain to the open access paper: Tiffany R. Bonnett, Jeanne A. Robert, Caitlin Pitt, Jordie D. Fraser, Christopher I. Keeling, Jörg Bohlmann, Dezene P.W. Huber, Global and comparative proteomic profiling of overwintering and developing mountain pine beetle, Dendroctonus ponderosae (Coleoptera: Curculionidae), larvae, Insect Biochemistry and Molecular Biology, Volume 42, Issue 12, December 2012, Pages 890-901, ISSN 0965-1748, 10.1016/j.ibmb.2012.08.003. The paper can be accessed here: http://www.sciencedirect.com/science/article/pii/S0965174812001221
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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".