Parcul Natural Porţile de Fier: monografie
Bibliographic record
Abstract
<em><strong>Parcul Natural Porţile de Fier: monografie</strong></em> <strong>Invitație în Parcul Natural Porțile de Fier 1</strong><br> Maria Pătroescu, Laurențiu Rozylowicz, Marian C. Jiplea <strong>Parcul Natural Porțile de Fier. Repere administrative și legislative 7</strong><br> Mihai R. Niță, Marian C. Jiplea, Diana A. Onose, Maria Pătroescu <strong>Potențialul ecologic al Parcului Natural Porțile de Fier 18</strong><br> Steluța Manolache, Iulian M. Niculae, Simona R. Grădinaru, Andreea Niță, Vasile Bagrinovschi <strong>Introducere la Geologia Parcului Natural Porțile de Fier 26</strong><br> Mihai Emilian Popa <strong>Comunitățile umane și peisajele din Parcul Natural Porțile de Fier 63</strong><br> Iulian M. Niculae, Catălin V. Toboiu, Maria Pătroescu, Cristian I. Iojă, Mihai R. Niță, Cristiana M. Ciocănea <strong>Biodiversitatea Parcului Natural Porțile de Fier 85</strong><br> Steluța Manolache, Laurențiu Rozylowicz, Maria Pătroescu, Amalia R. Dumbravă <strong>Turism în Parcul Natural Porțile de Fier 126</strong><br> Andreea Niță, Athanasios A. Gavrilidis, Cătălin V. Toboiu, Gabriel O. Vânău, Marius L. Matache, Simona R. Grădinaru, Felix Baratky <strong>Bibliografie 148</strong>
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.137 | 0.021 |
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".