Research in Fisheries Contaminants and Toxicology Conducted by the Contami ants Researc Unit, F·sheries and Environmental Sciences Division, Halifax Component, in 1983
Bibliographic record
Abstract
Canadian anu cript Report of Fi heries and quatic Science The e report contain cientific and technical information that repre ent an important contribution to exi ting kno ledge but hich for orne reason rna not be appropriate for primar cientific i.e. Journal) publication. The differ from Tech-nical Report in term of ubject cope and potential audience: anu cript Report deal primaril ith national or regional problem and di tribution i generall re trict-ed to in titution or indi idual located in particular region ofCanada. 0 re triction is placed on ubject matter and the erie reflect the broad interest and policie of the Department of Fi herie and Ocean namel fi herie management technolog and de elopment ocean cience and aquatic en ironment rele ant to Canada. anu cript Report rna be cited as full publication. The correct citation appears abo e the ab tract of each report. Each report ill be ab tracted b Aquatic Sciences and Fisheries Abstracts and ill be inde ed annuall in the Department' inde to cientific and technical publication. umber 1-900 in thi erie ere i ued a anu cript Report (Biological Serie) of the Biological Board of Canada and ub equent to 1937 hen the name of the Board a changed b Act of Parliament a Manu cript Report (Biological
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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.025 | 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; 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".