Feltrapport fra JOVA-programmet for Skas-Heigre-kanalen 2011
Bibliographic record
Abstract
I 2012/2013 var nedbørmengden omtrent som normal, mens middeltemperaturen var litt lavere enn normalen. Totalt for perioden var nedbørmengden 1122 mm, mens avrenningen var 632 mm. Dette gir et nedbøroverskudd på 490 mm. I nedbørfeltet er hoveddelen av høstet areal (70 %) utlagt til eng. Antallet gjødseldyrenheter har vært relativt stabilt de siste årene. \n \nGjennomsnittlige konsentrasjoner i vannet var 3,8 mg/L totalnitrogen, 134 μg/L totalfosfor og 9,6 mg/L suspendert stoff. Fosforinnholdet var høyere enn foregående år, mens nitrogeninnholdet var lavere. Effektene av de siste 3 års miljøavtaler i Skas-Heigre feltet er ikke tydelige. \n \nDet ble ikke tatt ut prøver for analyse av plantevernmidler i Skas-Heigre kanalen i 2012.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.074 | 0.061 |
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; both teacher heads agree on what is shown here.
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".