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.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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 teacher head, 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".