Итоги изучения генофонда яровой твердой пшеницы на устойчивость к полеганию
Bibliographic record
Abstract
From 2000 for 2012 the gene pool of a summer durum wheat in number of 3189 samples on a complex of the anatomo-morphological indicators providing resistance to lodging, for selection of a summer durum wheat in the conditions of Western Siberia is studied. For what the collection nursery, nursery of ecological testing, and also nursery of studying KASIB (the Kazahstansko-Siberian Nursery) according to methodical instructions ВИР was annually mortgaged. Are As a result secreted sample, of value as genetic sources for conditions of Western Siberia: shortnese, combining truncated the first and the second an internode with well educed knots: К63160, К63126, К163132 (France); К64353, К64354, К64355 (Canada); К62657, К62658 (USA); К16307 (Morocco); К14558 (Turkey); К29374 (Russia); Mexicali75, Yavros79, Kukuk, Т1313, Т1315, Т1319, Т1320 (Mexico); srednestebelnye, combining a depth of knots of the first and second internode with the increased diameter of the first and second internode: Kargala1671, Korona, Omskii Izumrud Gord.98-42-5 (SARI), 688д-4 (Samara NIISX); srednestebelnye, of knots of the first and second internode: Gord.98-42-2, Gord.99-42-2 (SARI); Kargala1540, Kargala69 (Aktyubinsk SXOS); К60366 (Kazakhstan); К60413, К61645 (Syria); К61095 (Canada); К61303 (USA); srednestebelnye, possessing a complex balanced anatomical and morphological characters: the Omsk Rubin, Angela, the Zhemchuzina Sibiri, Gord.01-117-15 (SARI); Bezenchuksky korotkostebelnay (Samara NIISX). The Acquired information is used in selection on resistance to lodging of a summer durum wheat in the conditions of Western Siberia.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 0.010 |
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".