Fatty acids of particulate matter collected from 2015 to 2018 near Quadra Island, British Columbia, Canada
Bibliographic record
Abstract
This dataset presents fatty acids of particulate organic matter collected from station QU39 from 2015 to 2018. The first sample collection on March 13, 2015 was done at Hakai Institute station QU24 and all subsequent collections were done at the nearby QU39. Water for POM fatty acid analysis was collected from multiple depths in the 30 m surface layer and combined for analysis resulting in one measurement per sampling date. For each sample, approximately 10 L of seawater total were filtered on to previously combusted GF/F filters. Fatty acids were analyzed at the Fisheries and Oceans Canada (DFO) Pacific Science Enterprise Centre as fatty acid methyl esters, separated using an Agilent CP-Sil 88 column, and quantified with a gas chromatograph (SCION 436) equipped with a flame ionization detector. Detailed information on methods are available in McLaskey et al. in prep.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.015 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 0.009 |
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".