Bibliographic record
Abstract
Obvezni doprinosi predstavljaju posebnu vrstu poreza koja se tereti na plaću zaposlenika. Doprinose dijelimo na doprinose iz osnovice, njih plaća zaposlenik, i na doprinose na osnovicu, njih plaća poslodavac. Doprinosi iz osnovice su obvezno mirovinsko osiguranje na temelju garancijske solidarnosti i obvezno mirovinsko osiguranje za starost na temelju individualne kapitalizirane štednje, a doprinos na osnovicu je obvezno zdravstveno osiguranje. Doprinosi su javna davanja državi, predstavljaju veliki dio prihoda Republike Hrvatske, te su od velike važnosti za financiranje države. Obrt je samostalno i trajno obavljanje dopuštenih gospodarskih djelatnosti od strane fizičke osobe, kojima je svrha postizanje dohotka ili dobiti koji se ostvaruje proizvodnjom, prometom ili pružanjem usluga.
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 | 0.001 | 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) | 0.000 | 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".