Bibliographic record
Abstract
Ⅰ 課題の設定 Ⅱ ４麦作付面積の推移の特徴 １ 全国の４麦作付面積の推移の概況 ２ 北海道・都府県別，小麦・大裸麦別に見た特徴 ３ 北海道・都府県別，田作麦・畑作麦別に見た特徴 ４ ４麦作付面積の推移と麦作の生産構造 Ⅲ 都府県の各農業地域の麦作の特徴 １ 各農業地域の麦作の概況 ２ 小麦・大裸麦別に見た特徴 ３ 田作麦・畑作麦をめぐる状況と特徴 Ⅳ 各農業地域の田作麦をめぐる状況 １ 麦に係る「水田活用の直接支払交付金」の「基幹」「二毛作」別支払動向 ２ 都府県の各農業地域の裏作田比率と「基幹」「二毛作」との関連 ３ 各農業地域の田本地面積に占める４麦作付面積の比率 Ⅴ 作付規模別階層の動向から見た麦作の構造変動 １ 麦類作付経営体の作付規模別経営体数比率の動向 ２ 小麦作付経営体の作付規模別経営体数比率及び作付面積比率の動向 Ⅵ むすび
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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 | 0.007 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.007 | 0.018 |
| Scholarly communication | 0.013 | 0.011 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.017 | 0.003 |
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".