Investigation of Change of Yield and Yield Components in Sesame (Sesamum indicum L.) According to Years and Locations
Bibliographic record
Abstract
This study was carried out to investigate the characteristics of second crop sesame growing in Manisa, Antalya, İzmir, and Şanlıurfa ecological conditions between 2008 and 2012, and to shed light on future studies. Baydar-2001, Muganli-57, Arslanbey, Ozberk-82, Birkan, Orhangazi-99, Hatipoglu, Boydak and BATEM-Uzun varieties were used as plant material. It seems that the change of ecological environmental conditions has very importance in the second crop sesame cultivation. In this study, while the highest seed yield was obtained from İzmir location, the lowest seed yield was obtained from Şanlıurfa location. It is concluded that Arslanbey and Hatipoglu varieties will be recommended in Şanlıurfa location and BATEM-Uzun variety in Aegean and Mediterranean locations.
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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 | 0.001 | 0.001 |
| 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".