Vyhodnocení provenienční plochy IUFRO s jedlí obrovskou na lokalitě Drahenice ve středních Čechách ve věku 41 let
Bibliographic record
Abstract
The paper deals with growth and prosperity of 25 provenances of grand fir from Washington, Oregon, Idaho and Montana (USA), and from Vancouver (British Columbia, Canada) tested in the international provenance research trial No. 212 – Drahenice (Czech Republic; N49° 31‘ 10‘‘, E13° 57‘ 20‘‘, 570 m a.s.l., acidic beech site). Biometric measurements took place at the age of 41 years; qualitative features were visually assessed according to the IUFRO methodology. The best overall assessment of both production and quality shows provenance 12041 – Oyster Bay (BC). Other provenances with high growing stocks, i.e. 12005 – Bear Mountain (WA), 12038 – Clearwater (ID), 12043 – Sproat Lake (BC) and 12044 – Kaye Road (BC) showed some qualitative shortcomings (lower vitality, worse stem shape or thicker branches). The worst both in production and quality were provenances 12020 – Crescent Creek (OR) and 12011 – Clear Lake (WA). The results confirm the suitability of the current setting of the rules for the transfer of reproductive material from North America to the Czech Republic.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".