Alaska Science Center Data Sheets from Intracoelomic Transmitter Implant and Liver Biopsy Surgeries in Birds, 1993-2012
Bibliographic record
Abstract
These are surgery data sheets filled out during operations on many bird species by the USGS Alaska Science Center, 1993-2012. The majority of surgeries were to implant intracoelomic tracking transmitters, but a subset were to collect liver biopsy samples. The data sheets provide information about individual surgeries, including: data about each bird, the timing of steps during each operation, administration of the anesthesia (Propofol or Isoflurane), and conditions during surgery. Data were collected from waterfowl, seabirds and shorebird species from regions across Alaska, as well as parts of Mexico, Canada, New Zealand, and The Netherlands. The data are provided in PDF format of digitally scanned original field data. Because the data are in original form and were not digitized at the time of collection, not all data has undergone formal Quality Assurance/Quality Control (QA/QC). These are scanned originals and some text may be illegible. A comprehensive list of available data sheets is provided with this data release, 'intracoelomicTransmitters_eventIndex_mulcahy_1993-2012.csv'.
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.029 | 0.035 |
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".