Mineral Content of Canada Goose Eggs and lmplications for Environmental Surveillance Along the Columbia River
Bibliographic record
Abstract
Hirtorically ,h(.rnain srem.(olumbid River ha. bcen relarivcty frec irom dj,ecr rclecses ot mdn_ l::1.T, T,l.ii' eremenr) trom Indu.rridtInritiri(r.Esgs raten rrom descrred L.rnadd soosr ne.K rrom rsraq\l\ rn Lhe HdqrorJ R.?,h ot rhe Columbia Rirer $,/erc (hemicall!anal\zed to"r an.rrrav ol cssential mineral nutrients as wcll as potentialrv toxic elemeots.rt"* ,i"i" p..";a"-".*-;"i..1 mdr:on con((rning rhe mineral tonceltrarjons ot soir parts ol C_anada s.""..;sr.feq, are esoecjallv rat.surver ance purpo"es h.cdu,e killing of lird. is not iequi,co and ;s, d,; :la'11".. ve"' arrrr yc^,.Min(,at rnrtistl.aree,FCir|y imporranr ar rhis rime irih,nses ;n iineral rn, ruru e )edrs.a-cro be d.,e,(d following rhe add:tjon "f nrw induirria, facilirics aLong rn( rnlumbra rhat cor d rnuoduce metals to terfestrial and aquatic erosysrems as arrborne or liquid efflucnt releases.
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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 | 0.002 | 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".