A detailed benthic faunal and introduced marine species survey of Port Davey, Bathurst Channel and Bathurst Harbour in SW Tasmania, Australia (2007)
Bibliographic record
Abstract
In February/ April 2007 invertebrate faunal communities were sampled at 70 locations throughout the system – with the greatest intensity of sites located within Port Davey, Bathurst Channel and Bathurst Harbour. Depth was measured from the surface using a depth sounder. Benthic invertebrate communities were sampled from the surface using an Eckman grab (in silty and muddy sediments) or a Van Veen grab in sandy sediments. At each site three replicate grab samples were collected and amalgamated in the field after sieving through a 1.0 mm mesh sieve then fixed in buffered 10% formalin seawater solution. An additional grab sample was collected for sediment physical and chemical analysis (C. Reid, Queens University, Canada). Surface and bottom water salinity were recorded at each location using a conductivity-salinity probe (not included in this dataset). The geographical position of each site was marked using GPS. Further details and the orginal data is from https://metadata.imas.utas.edu.au/geonetwork/srv/eng/metadata.show?uuid=edbb8a4a-34c3-4e1a-8278-1c45978b85c1
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.003 |
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".