Bibliographic record
Abstract
Kanada je zemlja velike površine i druga je u svijetu po veličini. Takve velike prostore obilježava izrazita raznolikost klime i vegetacije, ali i velika raznolikost biljnih i životinjskih vrsta. Iako je kanadska borealna šuma dobro sačuvana i smanjuje se njezina deforestacija, broj stanovnika Kanade je u posljednjih 5 godina porastao za 1,5 milijuna, pa se tako infrastruktura širi i tajge postaju ugroženije. U ovom radu ću objasniti kako klimatske promjene, razvoj gradova, invazivne vrste i druge uglavnom ljudski uvjetovane pojave utječu na cjelokupni život kanadske flore i faune. Proučavat ću i kakvo je stanje kanadske bioraznolikosti danas i koje se mjere trebaju poduzeti da bi oni najosjetljiviji, ali i ostali ekosustavi Kanade bili sačuvani za buduće generacije.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".