Guidelines for Sustainable Forest Biomass Production – Challenges in view of an emerging bioeconomy
Bibliographic record
Abstract
KIOES Opinions werden von der Kommission für Interdisziplinäre Ãkologische Studien (KIÃS) der Ãsterreichischen Akademie der Wissenschaften (ÃAW) publiziert. Die KIÃS publiziert darin aktuelle Diskussionen und Statements ihrer Mitglieder oder ihres Personals zu fachlich relevanten Themen in unregelmäÃigen Abständen. Zielgruppe sind unter anderem Wissenschaftler, politische Entscheidungsträger und die Ãffentlichkeit. Meinugen und Standpunkte, die in den KIOES Opinions zum Ausdruck gebracht werden, sind alleinig jene des jeweiligen Autors/der Autoren und decken sich nicht unbedingt mit jenen der KIÃS oder der ÃAW.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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".