Effects of Mechanized Harvesting on Harvest Efficiency and Storage Quality in Japanese Chestnut
Bibliographic record
Abstract
クリ収穫作業における2種の自走式収穫機，1種のトラクターマウント式収穫機の省力性を特徴づけた．国産自走式収穫機のクリ果の収穫率はトルコ製収穫機H130よりも優れており，走行速度の影響を受ける可能性が示唆された．作業効率を評価したところ，機械収穫は機種によらず作業時の落果密度（一定の面積に落下したきゅう果や果実の数）が高いほど収穫効率が優れる一方で，慣行法である火ばさみを用いた手作業で収穫する方法は落果密度によらず一定の効率であることが示唆された．きゅう果の収穫およびいが剥きを機械化した場合，慣行法と比べて最大約4倍効率的であり，国産収穫機といが剥き機の組み合わせが最も優れることが示唆された．
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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 | 0.000 | 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) | 0.001 | 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".