Hydrography and Ocean Sciences 260
Bibliographic record
Abstract
Tcx:hnical reports contain scientirK: and technical information that contributes to. e.o;isting knowledge but whi<:h i $ not normally appropriate for primary literature. The $ubjec::t matter is related generally to progrlnlS and interest $ of the Ooean Science and Survey $ (OSS) seetor o ( the Department o ( Fisheries and Oceans. Technical reports may be cited llS (ull puhliClitions. The correct citation appears above the abstrlct o ( each report. Each repon is abstracted in Aquatic Sdmus and Fishtries Ahstraru and indexed in the Department' $ annual inde/ [ to scientific and technical publications. Technical reports are produced regionally but are numbcred nationally. Requests for individual reports will be filled by the issuing t'Stablishmellt listed 011 til<: front cover and title page. Qut o ( stock reports will be supplied (or a fee by commercial agents. Regional and headquirtcu eslliUlishlTlcllt $ ()f ocean Seieuce and Surveys oeased pUblication of their vatious report series as of December 1981. A complete listing of these publications is published in the Canadian Journal of Fuhtrks and Aquatic St:jm~s,Volume 39: looe.o; to Publications 1982. Theeunerll series. which begins with
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.082 | 0.029 |
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".