Biodiversity and Oceanographic data from the False Creek Bioblitz, 2022
Bibliographic record
Abstract
False Creek is an urban inlet that runs through the city of Vancouver British Columbia. From April to September 2022, the Hakai Institute and the False Creek Friends Society, in collaboration with the City of Vancouver and other local organizations, conducted a BioBlitz of False Creek. This initiative undertook community engagement activities (outreach, education and community science) and scientific initiatives to provide a comprehensive understanding of the biodiversity of the seafloor, the water and the shorelines of the False Creek area in Vancouver. The False Creek Bioblitz combined several complementary methods for studying biodiversity including visual observations, video surveys, DNA Barcoding, and the use of environmental DNA (eDNA) to catalogue the biodiversity of False Creek. This metadata package provides links to the biodiversity and oceanographic data collected during these surveys.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.007 | 0.009 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.008 | 0.048 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.138 | 0.005 |
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; both teacher heads agree on what is shown here.
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".