ICT SISTEMI ZA PRAĆENJE I ZAŠTITU DIVLJIH ŽIVOTINJA U NJIHOVOM PRIRODNOM OKRUŽENJU
Bibliographic record
Abstract
Rad se bavi sistemima za praćenje i zaštitu divljih životinja u njihovimprirodnim okruženjima, te primenom navedenih tehnologija i rešenja u zaštićenimrezervatima prirode. Rad razmatra razloge i mogućnosti primene navedenihtehničkih rešenja, posebno u smislu zaštite vrsta sa crvene liste ugroženih vrsta. Uovom smislu rad razmatra i tehnološka rešenja te mogućnosti njihove primene krozIoT radni okvir, koncept Interneta životinja, te primene navedenih tehnologija krozrazličite poslovne i istraživačke modele. Konačno, rad daje primere rešenja kako sastanovišta neophodne infrastrukture (serveri, skladište, internet, ogrlice za životinje,stacionarne kamere i dronovi), tako i sa stanovišta obrade podataka i pravnog okviraza primenu navedenih rešenja.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.010 |
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".