Aquatic Sciences 2447 Seasonal Patterns of Biological and Physical Variables in Sediments of
Bibliographic record
Abstract
Fi herie and quatic cience The e report contain cientific and technical information that repre ent an important contribution to exi ting kno ledge but which for orne rea on rna not be appropriate for primary cientific (i.e. Journal) publication. Technical Report are directed primaril to ard a orld ide audience and ha e an international di tribution. 0 re triction i placed on ubject matter and the erie reflect the broad intere t and policie of the Department of Fi herie and Ocean namel fi herie management, technolog and de elopment, ocean cience and aquaticen ironment rele ant to Canada. Technical Report rna be cited a full publication. The correct citation appear abo e the ab tract of each report. Each report ill be ab tracted in Aquatic Sciences and Fi herie Ab tract and ill be inde ed annuall in the Department ' inde to cientific and technical publication. umber 1-456 in thi erie ere i ued a Technical Report of the Fi herie
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".