Bibliographic record
Abstract
加拿大森林资源丰富，林产工业是其重要产业之一，2004年其MDF产年量达157万m^3，约占北美地区MDF年总产量的30％，并且近年来一直保持着稳步的发展态势。加拿大国家林产工业技术研究院（Forintek）是该国唯一的国家林产工业研究机构，对加拿大林产工业的发展起到举足轻重的作用。Forintek总部位于温哥华（Vancouver）市，并在魁北克（Quebec）省Sainte—Foy市设有一个研究分院，在渥太华（Ottawa）等其他主要省／市还设有多个办事处，便于与工厂加强联系。为支持、适应北美地区MDF／HDF的发展，Forintek在Quebec研究分院专门成立了一个MDF／HDF实验中心。获悉2005年秋，我国人造板行业的知名专家——东北林业大学陆仁书教授应邀前往Quebec分院访问。笔者慕名就该院MDF／HDF实验中心的运作及研究状况采访了陆教授，并作此篇报道，以飨读者。
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.017 | 0.006 |
| Scholarly communication | 0.013 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.034 | 0.002 |
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".