Bibliographic record
Abstract
This long-term project (1996-2006) was carried out by the National Research Council of Canada with the cooperation of Dalhousie University Oceanography Department with additional funding from the Natural Sciences and Engineering Research Council of Canada (NSERC) and Aquanet. The goals were to determine the distribution of harmful phytoplankton, to monitor for novel toxins and identify their planktonic origin, to investigate methods for the early detection of toxic algal blooms and to evaluate and improve monitoring strategies by developing and implementing new technology. Phytoplankton samples were collected at regular intervals at two Nova Scotian aquaculture sites at Grave’s Shoal (1996-1997) and Ship Harbour (1998-2006). Samples were collected for phytoplankton profiles and phytotoxin analysis. Associated physicochemical and optical sensing data were collected concurrently to monitor the occurrence of harmful algae blooms. Harmful species responsible for the production of PSP (paralytic shellfish poisoning), DSP (diarrhetic shellfish poisoning), ASP (amnesic shellfish poisoning) and spirolides were enumerated and correlated with toxin concentrations. Clonal isolates were established from net tow samples that contained toxic species. Only the pipe sample phytoplankton profile data is included in this data set. Sampling was conducted weekly from May to September at selected locations. Two sites consistently sampled were: one inside a mussel farm and a second located just outside the mussel lines. Plankton samples were collected using a pipe sampler to sample the entire water column. Plankton samples were transported on ice back to the lab for analysis including qualitative taxonomy of dinoflagellates and diatoms. Two common toxic dinoflagellates known to co-occur in this area are Alexandrium tamarense and A. ostenfeldii. These two species cannot be distinguished with a light microscope. Confirmational genetic analysis was conducted to provide an estimate of their abundance ratios however in this dataset the two species were combined. The OBIS collection contains species distribution information.
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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.024 | 0.012 |
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".